diff --git a/CHANGELOG.md b/CHANGELOG.md
index be86348b8..0648923b7 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -11,6 +11,7 @@ This project adheres to [Semantic Versioning], with the exception that minor rel
 
 ### Changed
 
+- 🔧 Changed test circuit level for RL predictor from ALG to INDEP
 - 🔥 Drop support for x86 macOS systems ([#421]) ([**@denialhaag**])
 
 ## [2.3.0] - 2025-07-29
diff --git a/docs/setup.md b/docs/setup.md
index f37bc88e8..da572bb00 100644
--- a/docs/setup.md
+++ b/docs/setup.md
@@ -109,7 +109,7 @@ After setup, any quantum circuit can be compiled for the most suitable device wi
 from mqt.predictor import qcompile
 from mqt.bench import get_benchmark, BenchmarkLevel
 
-uncompiled_qc = get_benchmark("ghz", level=BenchmarkLevel.ALG, circuit_size=5)
+uncompiled_qc = get_benchmark("ghz", level=BenchmarkLevel.INDEP, circuit_size=5)
 compiled_qc, compilation_info, selected_device = qcompile(
     uncompiled_qc, figure_of_merit="expected_fidelity"
 )
diff --git a/noxfile.py b/noxfile.py
index 9fab17a1b..b5a748558 100644
--- a/noxfile.py
+++ b/noxfile.py
@@ -13,6 +13,7 @@
 import argparse
 import contextlib
 import os
+import pathlib
 import shutil
 import tempfile
 from typing import TYPE_CHECKING
@@ -57,6 +58,21 @@ def lint(session: nox.Session) -> None:
     session.run("pre-commit", "run", "--all-files", *session.posargs, external=True)
 
 
+def _cleanup(session: nox.Session) -> None:
+    """Remove this session's virtualenv to save disk space in CI."""
+    version = session.python
+    if version != "3.13":  # keep cache for last run
+        venv_dir = session.virtualenv.location
+        if venv_dir and pathlib.Path(venv_dir).exists():
+            shutil.rmtree(venv_dir, ignore_errors=True)
+            session.log(f"Cleaned up {venv_dir}")
+        shutil.rmtree(pathlib.Path("~/.cache").expanduser(), ignore_errors=True)
+        gha_temp = pathlib.Path("/home/runner/work/_temp/setup-uv-cache")
+        if gha_temp.exists():
+            shutil.rmtree(gha_temp, ignore_errors=True)
+            session.log(f"Cleaned GitHub Actions uv temp cache at {gha_temp}")
+
+
 def _run_tests(
     session: nox.Session,
     *,
@@ -86,10 +102,12 @@ def _run_tests(
     )
 
 
-@nox.session(reuse_venv=True, python=PYTHON_ALL_VERSIONS)
+@nox.session(reuse_venv=not os.environ.get("CI"), python=PYTHON_ALL_VERSIONS)
 def tests(session: nox.Session) -> None:
     """Run the test suite."""
     _run_tests(session)
+    if os.environ.get("CI"):
+        _cleanup(session)
 
 
 @nox.session(reuse_venv=True, venv_backend="uv", python=PYTHON_ALL_VERSIONS)
@@ -103,7 +121,8 @@ def minimums(session: nox.Session) -> None:
         )
         env = {"UV_PROJECT_ENVIRONMENT": session.virtualenv.location}
         session.run("uv", "tree", "--frozen", env=env)
-        session.run("uv", "lock", "--refresh", env=env)
+    if os.environ.get("CI"):
+        _cleanup(session)
 
 
 @nox.session(reuse_venv=True)
diff --git a/pyproject.toml b/pyproject.toml
index a6fdab0d8..bc0e1ecae 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -32,11 +32,12 @@ dependencies = [
     "mqt.bench>=2.0.0",
     "qiskit>=1.3.3",
     "pytket>=1.29.0", # lowest version that supports the used pytket AutoRebase pass instead of auto_rebase
-    "pytket_qiskit>=0.61.0",
+    "pytket_qiskit>=0.71.0",
     # TODO(denialhaag): Remove once pytket_qiskit is updated
     #   https://github.com/munich-quantum-toolkit/predictor/issues/471
     "qiskit-ibm-runtime>=0.30.0,<0.42.0",
     "sb3_contrib>=2.0.0",
+    "stable-baselines3>=2.7.0",
     "tqdm>=4.66.0",
     "rich>=12.6.0",
     "scikit-learn>=1.5.1",
@@ -49,6 +50,8 @@ dependencies = [
     "numpy>=1.22,<2; sys_platform == 'darwin' and 'x86_64' in platform_machine and python_version < '3.13'",  # Restrict numpy v2 for macOS x86 since it is not supported anymore since torch v2.3.0
     "torch>=2.8.0,<2.9.0; sys_platform == 'darwin' and 'x86_64' in platform_machine and python_version < '3.13'",  # Restrict torch v2.3.0 for macOS x86 since it is not supported anymore.
     "typing-extensions>=4.1",  # for `assert_never`
+    "qiskit-ibm-transpiler==0.13.1; python_version < '3.13'", # Do not support python 3.13 yet
+    "qiskit-ibm-ai-local-transpiler==0.4.2; python_version < '3.13'",
 ]
 
 classifiers = [
@@ -130,6 +133,8 @@ filterwarnings = [
     'ignore:.*qiskit.providers.models is deprecated since Qiskit 1.2*:DeprecationWarning:',
     'ignore:.*The class ``qiskit.qobj.*`` is deprecated as of Qiskit 1.3.*:DeprecationWarning:',
     'ignore:.*The property ``qiskit.circuit.instruction.Instruction.*`` is deprecated as of qiskit 1.3.0.*:DeprecationWarning:',
+    'ignore:.*Timeout is not supported on Windows\\.:RuntimeWarning',
+
 ]
 
 [tool.coverage]
@@ -167,7 +172,7 @@ implicit_reexport = true
 # recent versions of `gym` are typed, but stable-baselines3 pins a very old version of gym.
 # qiskit is not yet marked as typed, but is typed mostly.
 # the other libraries do not have type stubs.
-module = ["qiskit.*", "joblib.*", "sklearn.*", "matplotlib.*", "gymnasium.*", "mqt.bench.*", "sb3_contrib.*", "bqskit.*", "qiskit_ibm_runtime.*", "networkx.*", "stable_baselines3.*"]
+module = ["qiskit.*", "joblib.*", "sklearn.*", "matplotlib.*", "gymnasium.*", "mqt.bench.*", "sb3_contrib.*", "bqskit.*", "qiskit_ibm_runtime.*", "networkx.*", "stable_baselines3.*","qiskit_ibm_transpiler.*"]
 ignore_missing_imports = true
 
 [tool.ruff]
@@ -254,3 +259,8 @@ fom = "fom"
 
 [tool.repo-review]
 ignore = ["GH200"]
+
+[tool.uv]
+override-dependencies = [
+  "networkx==2.8.5", # Required by `qiskit-ibm-transpiler`
+]
diff --git a/src/mqt/predictor/ml/predictor.py b/src/mqt/predictor/ml/predictor.py
index 3f0ec5497..c1d6f1b15 100644
--- a/src/mqt/predictor/ml/predictor.py
+++ b/src/mqt/predictor/ml/predictor.py
@@ -61,6 +61,8 @@
 
 logger = logging.getLogger("mqt-predictor")
 
+NO_PARALLEL = sys.platform == "win32" and sys.version_info >= (3, 13)
+
 
 def setup_device_predictor(
     devices: list[Target],
@@ -227,7 +229,10 @@ def compile_training_circuits(
             with zipfile.ZipFile(str(path_zip), "r") as zip_ref:
                 zip_ref.extractall(path_uncompiled_circuits)
 
-        Parallel(n_jobs=num_workers, verbose=100)(
+        # On Windows + Python 3.13, joblib's default "loky" process backend is broken
+        # (missing `_posixsubprocess`). Fall back to no multiprocessing.
+        num_jobs = 1 if NO_PARALLEL else num_workers
+        Parallel(n_jobs=num_jobs, verbose=100)(
             delayed(self._compile_all_circuits_devicewise)(
                 device, timeout, path_uncompiled_circuits, path_compiled_circuits, logger.level
             )
@@ -267,7 +272,8 @@ def generate_training_data(
         names_list = []
         scores_list = []
 
-        results = Parallel(n_jobs=num_workers, verbose=100)(
+        num_jobs = 1 if NO_PARALLEL else num_workers
+        results = Parallel(n_jobs=num_jobs, verbose=100)(
             delayed(self._generate_training_sample)(
                 filename.name,
                 path_uncompiled_circuits,
@@ -276,6 +282,7 @@ def generate_training_data(
             )
             for filename in path_uncompiled_circuits.glob("*.qasm")
         )
+
         for sample in results:
             training_sample, circuit_name, scores = sample
             if all(score == -1 for score in scores):
@@ -405,8 +412,10 @@ def train_random_forest_model(
         if not training_data:
             training_data = self._get_prepared_training_data()
         num_cv = min(len(training_data.y_train), 5)
-        mdl = GridSearchCV(mdl, tree_param, cv=num_cv, n_jobs=8).fit(training_data.X_train, training_data.y_train)
-
+        num_jobs = 1 if NO_PARALLEL else 8
+        mdl = GridSearchCV(mdl, tree_param, cv=num_cv, n_jobs=num_jobs).fit(
+            training_data.X_train, training_data.y_train
+        )
         joblib_dump(mdl, save_mdl_path)
         logger.info("Random Forest model is trained and saved.")
 
diff --git a/src/mqt/predictor/reward.py b/src/mqt/predictor/reward.py
index 86632873d..c97485cd3 100644
--- a/src/mqt/predictor/reward.py
+++ b/src/mqt/predictor/reward.py
@@ -203,12 +203,15 @@ def estimated_success_probability(qc: QuantumCircuit, device: Target, precision:
                 if first_qubit_idx not in active_qubits:
                     continue
 
+                dt = device.dt  # discrete time unit used in duration
                 res *= np.exp(
                     -instruction.duration
+                    * dt
                     / min(device.qubit_properties[first_qubit_idx].t1, device.qubit_properties[first_qubit_idx].t2)
                 )
                 continue
             res *= 1 - device[gate_type][first_qubit_idx,].error
+
         else:
             second_qubit_idx = calc_qubit_index(qargs, qc.qregs, 1)
             res *= 1 - device[gate_type][first_qubit_idx, second_qubit_idx].error
diff --git a/src/mqt/predictor/rl/actions.py b/src/mqt/predictor/rl/actions.py
index db62ac707..a48ac83b1 100644
--- a/src/mqt/predictor/rl/actions.py
+++ b/src/mqt/predictor/rl/actions.py
@@ -11,6 +11,7 @@
 from __future__ import annotations
 
 import os
+import sys
 from collections import defaultdict
 from dataclasses import dataclass
 from enum import Enum
@@ -26,7 +27,9 @@
     RemoveRedundancies,
     RoutingPass,
 )
-from qiskit.circuit import StandardEquivalenceLibrary
+from pytket.placement import GraphPlacement, NoiseAwarePlacement
+from qiskit import QuantumCircuit
+from qiskit.circuit import ClassicalRegister, QuantumRegister, StandardEquivalenceLibrary
 from qiskit.circuit.library import (
     CXGate,
     CYGate,
@@ -44,14 +47,14 @@
     YGate,
     ZGate,
 )
+from qiskit.converters import circuit_to_dag, dag_to_circuit
 from qiskit.passmanager import ConditionalController
-from qiskit.transpiler import (
-    CouplingMap,
-)
+from qiskit.transpiler import CouplingMap
 from qiskit.transpiler.passes import (
     ApplyLayout,
     BasisTranslator,
     Collect2qBlocks,
+    CollectCliffords,
     CommutativeCancellation,
     CommutativeInverseCancellation,
     ConsolidateBlocks,
@@ -67,6 +70,7 @@
     OptimizeCliffords,
     RemoveDiagonalGatesBeforeMeasure,
     SabreLayout,
+    SabreSwap,
     Size,
     UnitarySynthesis,
     VF2Layout,
@@ -75,6 +79,9 @@
 from qiskit.transpiler.passes.layout.vf2_layout import VF2LayoutStopReason
 from qiskit.transpiler.preset_passmanagers import common
 
+if sys.version_info < (3, 13):
+    from qiskit_ibm_transpiler.ai.routing import AIRouting
+
 from mqt.predictor.rl.parsing import (
     PreProcessTKETRoutingAfterQiskitLayout,
     get_bqskit_native_gates,
@@ -86,6 +93,8 @@
 
     from bqskit import Circuit
     from pytket._tket.passes import BasePass as tket_BasePass
+    from qiskit.circuit import Instruction, Qubit
+    from qiskit.dagcircuit import DAGCircuit
     from qiskit.transpiler.basepasses import BasePass as qiskit_BasePass
 
 
@@ -119,12 +128,15 @@ class Action:
     pass_type: PassType
     transpile_pass: (
         list[qiskit_BasePass | tket_BasePass]
+        | Callable[..., list[Any]]
         | Callable[..., list[qiskit_BasePass | tket_BasePass]]
         | Callable[
             ...,
             Callable[..., tuple[Any, ...] | Circuit],
         ]
     )
+    stochastic: bool | None = False
+    preserve_layout: bool | None = False
 
 
 @dataclass
@@ -137,7 +149,8 @@ class DeviceDependentAction(Action):
     """Action that represents a device-specific compilation pass that can be applied to a specific device."""
 
     transpile_pass: (
-        Callable[..., list[qiskit_BasePass | tket_BasePass]]
+        Callable[..., list[Any]]
+        | Callable[..., list[qiskit_BasePass | tket_BasePass]]
         | Callable[
             ...,
             Callable[..., tuple[Any, ...] | Circuit],
@@ -180,16 +193,29 @@ def remove_action(name: str) -> None:
         "Optimize1qGatesDecomposition",
         CompilationOrigin.QISKIT,
         PassType.OPT,
+        # If no basis_gates are passed, fallback 1q Euler gates:
+        # https://github.com/Qiskit/qiskit/blob/main/qiskit/synthesis/one_qubit/one_qubit_decompose.py#L46
         [Optimize1qGatesDecomposition()],
     )
 )
 
+register_action(
+    DeviceDependentAction(
+        "Optimize1qGatesDecomposition_preserve",
+        CompilationOrigin.QISKIT,
+        PassType.OPT,
+        preserve_layout=True,
+        transpile_pass=lambda device: [Optimize1qGatesDecomposition(basis=device.operation_names)],
+    )
+)
+
 register_action(
     DeviceIndependentAction(
         "CommutativeCancellation",
         CompilationOrigin.QISKIT,
         PassType.OPT,
         [CommutativeCancellation()],
+        preserve_layout=True,
     )
 )
 
@@ -199,6 +225,7 @@ def remove_action(name: str) -> None:
         CompilationOrigin.QISKIT,
         PassType.OPT,
         [CommutativeInverseCancellation()],
+        preserve_layout=True,
     )
 )
 
@@ -208,6 +235,7 @@ def remove_action(name: str) -> None:
         CompilationOrigin.QISKIT,
         PassType.OPT,
         [RemoveDiagonalGatesBeforeMeasure()],
+        preserve_layout=True,
     )
 )
 
@@ -232,6 +260,7 @@ def remove_action(name: str) -> None:
                 (SXGate(), SXdgGate()),
             ])
         ],
+        preserve_layout=True,
     )
 )
 
@@ -240,7 +269,7 @@ def remove_action(name: str) -> None:
         "OptimizeCliffords",
         CompilationOrigin.QISKIT,
         PassType.OPT,
-        [OptimizeCliffords()],
+        [CollectCliffords(), OptimizeCliffords()],
     )
 )
 
@@ -249,10 +278,26 @@ def remove_action(name: str) -> None:
         "Opt2qBlocks",
         CompilationOrigin.QISKIT,
         PassType.OPT,
+        # If no arguments is passed, decompose to U(θ, φ, λ) and CX
+        # https://github.com/Qiskit/qiskit/blob/stable/2.1/qiskit/transpiler/passes/synthesis/default_unitary_synth_plugin.py
         [Collect2qBlocks(), ConsolidateBlocks(), UnitarySynthesis()],
     )
 )
 
+register_action(
+    DeviceDependentAction(
+        "Opt2qBlocks_preserve",
+        CompilationOrigin.QISKIT,
+        PassType.OPT,
+        transpile_pass=lambda native_gate, coupling_map: [
+            Collect2qBlocks(),
+            ConsolidateBlocks(basis_gates=native_gate),
+            UnitarySynthesis(basis_gates=native_gate, coupling_map=coupling_map),
+        ],
+        preserve_layout=True,
+    )
+)
+
 register_action(
     DeviceIndependentAction(
         "PeepholeOptimise2Q",
@@ -314,6 +359,7 @@ def remove_action(name: str) -> None:
             MinimumPoint(["depth", "size"], "optimization_loop"),
         ],
         do_while=lambda property_set: not property_set["optimization_loop_minimum_point"],
+        preserve_layout=True,
     )
 )
 
@@ -338,7 +384,7 @@ def remove_action(name: str) -> None:
         "VF2PostLayout",
         CompilationOrigin.QISKIT,
         PassType.FINAL_OPT,
-        transpile_pass=lambda device: VF2PostLayout(target=device),
+        transpile_pass=lambda device: VF2PostLayout(target=device, time_limit=100),
     )
 )
 
@@ -376,6 +422,35 @@ def remove_action(name: str) -> None:
     )
 )
 
+register_action(
+    DeviceDependentAction(
+        "GraphPlacement",
+        CompilationOrigin.TKET,
+        PassType.LAYOUT,
+        transpile_pass=lambda device: [
+            GraphPlacement(Architecture(list(device.build_coupling_map())), timeout=5000, maximum_matches=5000)
+        ],
+    )
+)
+
+register_action(
+    DeviceDependentAction(
+        "NoiseAwarePlacement",
+        CompilationOrigin.TKET,
+        PassType.LAYOUT,
+        transpile_pass=lambda device, node_err, edge_err, readout_err: [
+            NoiseAwarePlacement(
+                Architecture(list(device.build_coupling_map())),
+                node_err,
+                edge_err,
+                readout_err,
+                timeout=5000,
+                maximum_matches=5000,
+            )
+        ],
+    )
+)
+
 register_action(
     DeviceDependentAction(
         "RoutingPass",
@@ -388,13 +463,60 @@ def remove_action(name: str) -> None:
     )
 )
 
+register_action(
+    DeviceDependentAction(
+        "SabreSwap",
+        CompilationOrigin.QISKIT,
+        PassType.ROUTING,
+        stochastic=True,
+        transpile_pass=lambda device: [
+            SabreSwap(coupling_map=CouplingMap(device.build_coupling_map()), heuristic="decay")
+        ],
+    )
+)
+if sys.version_info < (3, 13):
+    register_action(
+        DeviceDependentAction(
+            "AIRouting",
+            CompilationOrigin.QISKIT,
+            PassType.ROUTING,
+            stochastic=True,
+            transpile_pass=lambda device: [
+                SafeAIRouting(
+                    coupling_map=device.build_coupling_map(),
+                    optimization_level=3,
+                    layout_mode="improve",
+                    local_mode=True,
+                )
+            ],
+        )
+    )
+
+    register_action(
+        DeviceDependentAction(
+            "AIRouting_opt",
+            CompilationOrigin.QISKIT,
+            PassType.MAPPING,
+            stochastic=True,
+            transpile_pass=lambda device: [
+                ### Requires a initial layout, but "optimize" mode overwrites it
+                SabreLayout(coupling_map=CouplingMap(device.build_coupling_map()), skip_routing=True, max_iterations=1),
+                FullAncillaAllocation(coupling_map=CouplingMap(device.build_coupling_map())),
+                EnlargeWithAncilla(),
+                ApplyLayout(),
+                SafeAIRouting(coupling_map=device.build_coupling_map(), optimization_level=3, layout_mode="optimize"),
+            ],
+        )
+    )
+
 register_action(
     DeviceDependentAction(
         "SabreMapping",
         CompilationOrigin.QISKIT,
         PassType.MAPPING,
+        stochastic=True,
         transpile_pass=lambda device: [
-            SabreLayout(coupling_map=CouplingMap(device.build_coupling_map()), skip_routing=False)
+            SabreLayout(coupling_map=CouplingMap(device.build_coupling_map()), skip_routing=False, max_iterations=1),
         ],
     )
 )
@@ -442,7 +564,7 @@ def remove_action(name: str) -> None:
             model=MachineModel(bqskit_circuit.num_qudits, gate_set=get_bqskit_native_gates(device)),
             optimization_level=1 if os.getenv("GITHUB_ACTIONS") == "true" else 2,
             synthesis_epsilon=1e-1 if os.getenv("GITHUB_ACTIONS") == "true" else 1e-8,
-            max_synthesis_size=2 if os.getenv("GITHUB_ACTIONS") == "true" else 3,
+            max_synthesis_size=3,
             seed=10,
             num_workers=1 if os.getenv("GITHUB_ACTIONS") == "true" else -1,
         ),
@@ -465,3 +587,108 @@ def get_actions_by_pass_type() -> dict[PassType, list[Action]]:
     for action in _ACTIONS.values():
         result[action.pass_type].append(action)
     return result
+
+
+def extract_cregs_and_measurements(
+    qc: QuantumCircuit,
+) -> tuple[list[ClassicalRegister], list[tuple[Instruction, list[Qubit], list[ClassicalRegister]]]]:
+    """Extracts classical registers and measurement operations from a quantum circuit.
+
+    Args:
+        qc: The input QuantumCircuit.
+
+    Returns:
+        A tuple containing a list of classical registers and a list of measurement operations.
+    """
+    cregs = [ClassicalRegister(cr.size, name=cr.name) for cr in qc.cregs]
+    measurements = [(item.operation, item.qubits, item.clbits) for item in qc.data if item.operation.name == "measure"]
+    return cregs, measurements
+
+
+def remove_cregs(qc: QuantumCircuit) -> QuantumCircuit:
+    """Removes classical registers and measurement operations from the circuit.
+
+    Args:
+        qc: The input QuantumCircuit.
+
+    Returns:
+        A new QuantumCircuit with only quantum operations (no cregs or measurements).
+    """
+    qregs = [QuantumRegister(qr.size, name=qr.name) for qr in qc.qregs]
+    new_qc = QuantumCircuit(*qregs)
+    old_to_new = {}
+    for orig_qr, new_qr in zip(qc.qregs, new_qc.qregs, strict=False):
+        for idx in range(orig_qr.size):
+            old_to_new[orig_qr[idx]] = new_qr[idx]
+    for item in qc.data:
+        instr = item.operation
+        qargs = [old_to_new[q] for q in item.qubits]
+        if instr.name not in ("measure", "barrier"):
+            new_qc.append(instr, qargs)
+    return new_qc
+
+
+def add_cregs_and_measurements(
+    qc: QuantumCircuit,
+    cregs: list[ClassicalRegister],
+    measurements: list[tuple[Instruction, list[Qubit], list[ClassicalRegister]]],
+    qubit_map: dict[Qubit, Qubit] | None = None,
+) -> QuantumCircuit:
+    """Adds classical registers and measurement operations back to the quantum circuit.
+
+    Args:
+        qc: The quantum circuit to which cregs and measurements are added.
+        cregs: List of ClassicalRegister to add.
+        measurements: List of measurement instructions as tuples (Instruction, qubits, clbits).
+        qubit_map: Optional dictionary mapping original qubits to new qubits.
+
+    Returns:
+        The modified QuantumCircuit with cregs and measurements added.
+    """
+    for cr in cregs:
+        qc.add_register(cr)
+    for instr, qargs, cargs in measurements:
+        new_qargs = [qubit_map[q] for q in qargs] if qubit_map else qargs
+        qc.append(instr, new_qargs, cargs)
+    return qc
+
+
+if sys.version_info < (3, 13):
+
+    class SafeAIRouting(AIRouting):  # type: ignore[misc]
+        """Custom AIRouting wrapper that removes classical registers before routing.
+
+        This prevents failures in AIRouting when classical bits are present by
+        temporarily removing classical registers and measurements and restoring
+        them after routing is completed.
+        """
+
+        def run(self, dag: DAGCircuit) -> DAGCircuit:
+            """Run the routing pass on a DAGCircuit."""
+            qc_orig = dag_to_circuit(dag)
+            # Extract classical registers and measurement instructions
+            cregs, measurements = extract_cregs_and_measurements(qc_orig)
+            # Remove cregs and measurements
+            qc_noclassical = remove_cregs(qc_orig)
+            # Convert back to dag and run routing (AIRouting)
+            dag_noclassical = circuit_to_dag(qc_noclassical)
+            dag_routed = super().run(dag_noclassical)
+            # Convert routed dag to circuit for restoration
+            qc_routed = dag_to_circuit(dag_routed)
+            # Build mapping from original qubits to qubits in routed circuit
+            final_layout = getattr(self, "property_set", {}).get("final_layout", None)
+            assert final_layout is not None, "final_layout is None — cannot map virtual qubits"
+            qubit_map = {}
+            for virt in qc_orig.qubits:
+                assert virt in final_layout, f"Virtual qubit {virt} not found in final layout!"
+                phys = final_layout[virt]
+                if isinstance(phys, int):
+                    assert 0 <= phys < len(qc_routed.qubits), f"Physical index {phys} out of range in routed circuit!"
+                    qubit_map[virt] = qc_routed.qubits[phys]
+                else:
+                    assert phys in qc_routed.qubits, f"Physical qubit {phys} not found in output circuit!"
+                    qubit_map[virt] = qc_routed.qubits[qc_routed.qubits.index(phys)]
+            # Restore classical registers and measurement instructions
+            qc_final = add_cregs_and_measurements(qc_routed, cregs, measurements, qubit_map)
+            # Return as dag
+            return circuit_to_dag(qc_final)
diff --git a/src/mqt/predictor/rl/helper.py b/src/mqt/predictor/rl/helper.py
index 68bb9401d..e5fe95d52 100644
--- a/src/mqt/predictor/rl/helper.py
+++ b/src/mqt/predictor/rl/helper.py
@@ -82,7 +82,6 @@ def create_feature_dict(qc: QuantumCircuit) -> dict[str, int | NDArray[np.float6
         "num_qubits": qc.num_qubits,
         "depth": qc.depth(),
     }
-
     supermarq_features = calc_supermarq_features(qc)
     # for all dict values, put them in a list each
     feature_dict["program_communication"] = np.array([supermarq_features.program_communication], dtype=np.float32)
@@ -90,7 +89,6 @@ def create_feature_dict(qc: QuantumCircuit) -> dict[str, int | NDArray[np.float6
     feature_dict["entanglement_ratio"] = np.array([supermarq_features.entanglement_ratio], dtype=np.float32)
     feature_dict["parallelism"] = np.array([supermarq_features.parallelism], dtype=np.float32)
     feature_dict["liveness"] = np.array([supermarq_features.liveness], dtype=np.float32)
-
     return feature_dict
 
 
diff --git a/src/mqt/predictor/rl/parsing.py b/src/mqt/predictor/rl/parsing.py
index d728039d4..e406fbe44 100644
--- a/src/mqt/predictor/rl/parsing.py
+++ b/src/mqt/predictor/rl/parsing.py
@@ -18,9 +18,9 @@
 from pytket import Qubit
 from pytket.circuit import Node
 from pytket.placement import place_with_map
-from qiskit import QuantumRegister
+from qiskit import QuantumCircuit, QuantumRegister
 from qiskit.converters import circuit_to_dag, dag_to_circuit
-from qiskit.transpiler import Layout, TranspileLayout
+from qiskit.transpiler import Layout, PassManager, Target, TranspileLayout
 from qiskit.transpiler.passes import ApplyLayout
 
 if TYPE_CHECKING:
@@ -248,3 +248,31 @@ def postprocess_vf2postlayout(
 
     altered_qc = apply_layout.run(circuit_to_dag(qc))
     return dag_to_circuit(altered_qc), apply_layout
+
+
+def prepare_noise_data(device: Target) -> tuple[dict[Node, float], dict[tuple[Node, Node], float], dict[Node, float]]:
+    """Extract node, edge, and readout errors from the device target."""
+    node_err: dict[Node, float] = {}
+    edge_err: dict[tuple[Node, Node], float] = {}
+    readout_err: dict[Node, float] = {}
+
+    # Collect errors from operation properties
+    for op_name in device.operation_names:
+        inst_props = device[op_name]
+        for qtuple, props in inst_props.items():
+            if props is None or not hasattr(props, "error") or props.error is None:
+                continue
+            if len(qtuple) == 1:  # single-qubit op
+                q = qtuple[0]
+                node_err[Node(q)] = props.error
+            elif len(qtuple) == 2:  # two-qubit op
+                q1, q2 = qtuple
+                edge_err[Node(q1), Node(q2)] = props.error
+
+    # Collect readout errors
+    if "measure" in device:
+        for (q,), props in device["measure"].items():
+            if props is not None and hasattr(props, "error") and props.error is not None:
+                readout_err[Node(q)] = props.error
+
+    return node_err, edge_err, readout_err
diff --git a/src/mqt/predictor/rl/predictorenv.py b/src/mqt/predictor/rl/predictorenv.py
index 4c1f5f69d..53d2c9df2 100644
--- a/src/mqt/predictor/rl/predictorenv.py
+++ b/src/mqt/predictor/rl/predictorenv.py
@@ -24,6 +24,8 @@
     from pathlib import Path
 
     from bqskit import Circuit
+    from pytket.circuit import Node
+    from qiskit.passmanager import PropertySet
     from qiskit.transpiler import Target
 
     from mqt.predictor.reward import figure_of_merit
@@ -41,9 +43,18 @@
 from pytket.circuit import Qubit
 from pytket.extensions.qiskit import qiskit_to_tk, tk_to_qiskit
 from qiskit import QuantumCircuit
+from qiskit.circuit import StandardEquivalenceLibrary
 from qiskit.passmanager.flow_controllers import DoWhileController
-from qiskit.transpiler import CouplingMap, PassManager, TranspileLayout
-from qiskit.transpiler.passes import CheckMap, GatesInBasis
+from qiskit.transpiler import CouplingMap, Layout, PassManager, TranspileLayout
+from qiskit.transpiler.passes import (
+    ApplyLayout,
+    BasisTranslator,
+    CheckMap,
+    EnlargeWithAncilla,
+    FullAncillaAllocation,
+    GatesInBasis,
+    SetLayout,
+)
 from qiskit.transpiler.passes.layout.vf2_layout import VF2LayoutStopReason
 
 from mqt.predictor.hellinger import get_hellinger_model_path
@@ -54,12 +65,22 @@
     estimated_success_probability,
     expected_fidelity,
 )
-from mqt.predictor.rl.actions import CompilationOrigin, DeviceDependentAction, PassType, get_actions_by_pass_type
-from mqt.predictor.rl.helper import create_feature_dict, get_path_training_circuits, get_state_sample
+from mqt.predictor.rl.actions import (
+    CompilationOrigin,
+    DeviceDependentAction,
+    PassType,
+    get_actions_by_pass_type,
+)
+from mqt.predictor.rl.helper import (
+    create_feature_dict,
+    get_path_training_circuits,
+    get_state_sample,
+)
 from mqt.predictor.rl.parsing import (
     final_layout_bqskit_to_qiskit,
     final_layout_pytket_to_qiskit,
     postprocess_vf2postlayout,
+    prepare_noise_data,
 )
 
 logger = logging.getLogger("mqt-predictor")
@@ -95,6 +116,7 @@ def __init__(
         self.actions_mapping_indices = []
         self.actions_opt_indices = []
         self.actions_final_optimization_indices = []
+        self.actions_mapping_preserving_indices = []
         self.used_actions: list[str] = []
         self.device = device
 
@@ -111,6 +133,12 @@ def __init__(
             self.action_set[index] = elem
             self.actions_synthesis_indices.append(index)
             index += 1
+        for elem in action_dict[PassType.OPT]:
+            self.action_set[index] = elem
+            self.actions_opt_indices.append(index)
+            if getattr(elem, "preserve", False):
+                self.actions_mapping_preserving_indices.append(index)
+            index += 1
         for elem in action_dict[PassType.LAYOUT]:
             self.action_set[index] = elem
             self.actions_layout_indices.append(index)
@@ -119,10 +147,6 @@ def __init__(
             self.action_set[index] = elem
             self.actions_routing_indices.append(index)
             index += 1
-        for elem in action_dict[PassType.OPT]:
-            self.action_set[index] = elem
-            self.actions_opt_indices.append(index)
-            index += 1
         for elem in action_dict[PassType.MAPPING]:
             self.action_set[index] = elem
             self.actions_mapping_indices.append(index)
@@ -154,7 +178,7 @@ def __init__(
         self.rng = np.random.default_rng(10)
 
         spaces = {
-            "num_qubits": Discrete(128),
+            "num_qubits": Discrete(self.device.num_qubits + 1),
             "depth": Discrete(1000000),
             "program_communication": Box(low=0, high=1, shape=(1,), dtype=np.float32),
             "critical_depth": Box(low=0, high=1, shape=(1,), dtype=np.float32),
@@ -164,6 +188,10 @@ def __init__(
         }
         self.observation_space = Dict(spaces)
         self.filename = ""
+        self.max_iter = 10
+        self.node_err: dict[Node, float] | None = None
+        self.edge_err: dict[tuple[Node, Node], float] | None = None
+        self.readout_err: dict[Node, float] | None = None
 
     def step(self, action: int) -> tuple[dict[str, Any], float, bool, bool, dict[Any, Any]]:
         """Executes the given action and returns the new state, the reward, whether the episode is done, whether the episode is truncated and additional information.
@@ -189,6 +217,7 @@ def step(self, action: int) -> tuple[dict[str, Any], float, bool, bool, dict[Any
             )
 
         self.state: QuantumCircuit = altered_qc
+
         self.num_steps += 1
 
         self.valid_actions = self.determine_valid_actions_for_state()
@@ -203,25 +232,28 @@ def step(self, action: int) -> tuple[dict[str, Any], float, bool, bool, dict[Any
             reward_val = 0
             done = False
 
-        # in case the Qiskit.QuantumCircuit has unitary or u gates in it, decompose them (because otherwise qiskit will throw an error when applying the BasisTranslator
+        # in case the Qiskit.QuantumCircuit has unitary or u gates or clifford in it, decompose them (because otherwise qiskit will throw an error when applying the BasisTranslator
         if self.state.count_ops().get("unitary"):
             self.state = self.state.decompose(gates_to_decompose="unitary")
+        elif self.state.count_ops().get("clifford"):
+            self.state = self.state.decompose(gates_to_decompose="clifford")
 
         self.state._layout = self.layout  # noqa: SLF001
-        obs = create_feature_dict(self.state)
-        return obs, reward_val, done, False, {}
 
-    def calculate_reward(self) -> float:
+        return create_feature_dict(self.state), reward_val, done, False, {}
+
+    def calculate_reward(self, qc: QuantumCircuit | None = None) -> float:
         """Calculates and returns the reward for the current state."""
+        circuit = self.state if qc is None else qc
         if self.reward_function == "expected_fidelity":
-            return expected_fidelity(self.state, self.device)
+            return expected_fidelity(circuit, self.device)
         if self.reward_function == "estimated_success_probability":
-            return estimated_success_probability(self.state, self.device)
+            return estimated_success_probability(circuit, self.device)
         if self.reward_function == "estimated_hellinger_distance":
-            return estimated_hellinger_distance(self.state, self.device, self.hellinger_model)
+            return estimated_hellinger_distance(circuit, self.device, self.hellinger_model)
         if self.reward_function == "critical_depth":
-            return crit_depth(self.state)
-        assert_never(self.state)
+            return crit_depth(circuit)
+        assert_never(circuit)
 
     def render(self) -> None:
         """Renders the current state."""
@@ -244,6 +276,7 @@ def reset(
             The initial state and additional information.
         """
         super().reset(seed=seed)
+
         if isinstance(qc, QuantumCircuit):
             self.state = qc
         elif qc:
@@ -263,6 +296,7 @@ def reset(
 
         self.num_qubits_uncompiled_circuit = self.state.num_qubits
         self.has_parameterized_gates = len(self.state.parameters) > 0
+
         return create_feature_dict(self.state), {}
 
     def action_masks(self) -> list[bool]:
@@ -317,69 +351,199 @@ def apply_action(self, action_index: int) -> QuantumCircuit | None:
         if action.origin == CompilationOrigin.BQSKIT:
             return self._apply_bqskit_action(action, action_index)
         msg = f"Origin {action.origin} not supported."
+
         raise ValueError(msg)
 
+    def fom_aware_compile(
+        self, action: Action, device: Target, qc: QuantumCircuit, max_iteration: int = 4
+    ) -> tuple[QuantumCircuit, PropertySet | None]:
+        """Run a stochastic pass multiple times optimizing for the given figure of merit.
+
+        Args:
+            action: The action containing the transpile pass.
+            device: The compilation target device.
+            qc: The input quantum circuit.
+            max_iteration: Maximum number of attempts to run the pass.
+
+        Returns:
+            A tuple of the best circuit found and its property set (if available).
+        """
+        best_result = None
+        best_property_set = None
+        best_fom = -1.0
+        best_swap_count = float("inf")  # for fallback
+
+        assert callable(action.transpile_pass), "Mapping action should be callable"
+        for i in range(max_iteration):
+            pm = PassManager(action.transpile_pass(device))
+            try:
+                out_circ = pm.run(qc)
+                prop_set = dict(pm.property_set)
+
+                try:
+                    # Synthesize for lookahead fidelity (Mapping could insert non-local SWAP gates)
+                    if self.reward_function in [
+                        "expected_fidelity",
+                        "estimated_success_probability",
+                        "estimated_hellinger_distance",
+                    ]:
+                        synth_pass = PassManager([
+                            BasisTranslator(StandardEquivalenceLibrary, target_basis=device.operation_names)
+                        ])
+                        synth_circ = synth_pass.run(out_circ.copy())
+                        fom = self.calculate_reward(synth_circ)
+
+                        if fom > best_fom:
+                            best_fom = fom
+                            best_result = out_circ
+                            best_property_set = prop_set
+                    else:
+                        fom = self.calculate_reward(out_circ)
+                        if fom < best_fom:
+                            best_fom = fom
+                            best_result = out_circ
+                            best_property_set = prop_set
+
+                except Exception as e:
+                    logger.warning(f"[Fallback to SWAP counts] Synthesis or fidelity computation failed: {e}")
+                    swap_count = out_circ.count_ops().get("swap", 0)
+                    if best_result is None or (best_fom == -1.0 and swap_count < best_swap_count):
+                        best_swap_count = swap_count
+                        best_result = out_circ
+                        best_property_set = prop_set
+
+            except Exception:
+                logger.exception(f"[Error] Pass failed at iteration {i + 1}")
+                continue
+
+        if best_result is not None:
+            return best_result, best_property_set
+        logger.error("All attempts failed.")
+        return qc, {}
+
     def _apply_qiskit_action(self, action: Action, action_index: int) -> QuantumCircuit:
-        if action.name == "QiskitO3" and isinstance(action, DeviceDependentAction):
-            passes = action.transpile_pass(
-                self.device.operation_names,
-                CouplingMap(self.device.build_coupling_map()) if self.layout else None,
+        pm_property_set: PropertySet | None = {}
+        if getattr(action, "stochastic", False):  # Wrap stochastic action to optimize for the used figure of merit
+            altered_qc, pm_property_set = self.fom_aware_compile(
+                action,
+                self.device,
+                self.state,
+                max_iteration=self.max_iter,
             )
-            pm = PassManager([DoWhileController(passes, do_while=action.do_while)])
         else:
-            transpile_pass = (
-                action.transpile_pass(self.device) if callable(action.transpile_pass) else action.transpile_pass
-            )
-            pm = PassManager(transpile_pass)
-
-        altered_qc = pm.run(self.state)
+            if action.name in ["QiskitO3", "Opt2qBlocks_preserve"] and isinstance(action, DeviceDependentAction):
+                passes = action.transpile_pass(
+                    self.device.operation_names,
+                    CouplingMap(self.device.build_coupling_map()) if self.layout else None,
+                )
+                if action.name == "QiskitO3":
+                    pm = PassManager([DoWhileController(passes, do_while=action.do_while)])
+                else:
+                    pm = PassManager(passes)
+                altered_qc = pm.run(self.state)
+                pm_property_set = dict(pm.property_set) if hasattr(pm, "property_set") else {}
+            else:
+                transpile_pass = (
+                    action.transpile_pass(self.device) if callable(action.transpile_pass) else action.transpile_pass
+                )
+                pm = PassManager(transpile_pass)
+                altered_qc = pm.run(self.state)
+                pm_property_set = dict(pm.property_set) if hasattr(pm, "property_set") else {}
 
         if action_index in (
             self.actions_layout_indices + self.actions_mapping_indices + self.actions_final_optimization_indices
         ):
-            altered_qc = self._handle_qiskit_layout_postprocessing(action, pm, altered_qc)
-
-        elif action_index in self.actions_routing_indices and self.layout:
-            self.layout.final_layout = pm.property_set["final_layout"]
+            altered_qc = self._handle_qiskit_layout_postprocessing(action, pm_property_set, altered_qc)
+        elif action_index in self.actions_routing_indices and self.layout and pm_property_set is not None:
+            self.layout.final_layout = pm_property_set["final_layout"]
 
         return altered_qc
 
     def _handle_qiskit_layout_postprocessing(
-        self, action: Action, pm: PassManager, altered_qc: QuantumCircuit
+        self,
+        action: Action,
+        pm_property_set: dict[str, Any] | None,
+        altered_qc: QuantumCircuit,
     ) -> QuantumCircuit:
+        if not pm_property_set:
+            return altered_qc
         if action.name == "VF2PostLayout":
-            assert pm.property_set["VF2PostLayout_stop_reason"] is not None
-            post_layout = pm.property_set["post_layout"]
+            assert pm_property_set["VF2PostLayout_stop_reason"] is not None
+            post_layout = pm_property_set.get("post_layout")
             if post_layout:
                 altered_qc, _ = postprocess_vf2postlayout(altered_qc, post_layout, self.layout)
         elif action.name == "VF2Layout":
-            assert pm.property_set["VF2Layout_stop_reason"] == VF2LayoutStopReason.SOLUTION_FOUND
-            assert pm.property_set["layout"]
+            if pm_property_set["VF2Layout_stop_reason"] == VF2LayoutStopReason.SOLUTION_FOUND:
+                assert pm_property_set["layout"]
         else:
-            assert pm.property_set["layout"]
+            assert pm_property_set["layout"]
 
-        if pm.property_set["layout"]:
+        layout = pm_property_set.get("layout")
+        if layout:
             self.layout = TranspileLayout(
-                initial_layout=pm.property_set["layout"],
-                input_qubit_mapping=pm.property_set["original_qubit_indices"],
-                final_layout=pm.property_set["final_layout"],
+                initial_layout=layout,
+                input_qubit_mapping=pm_property_set.get("original_qubit_indices"),
+                final_layout=pm_property_set.get("final_layout"),
                 _output_qubit_list=altered_qc.qubits,
                 _input_qubit_count=self.num_qubits_uncompiled_circuit,
             )
+
+        if self.layout is not None and pm_property_set.get("final_layout"):
+            self.layout.final_layout = pm_property_set["final_layout"]
         return altered_qc
 
     def _apply_tket_action(self, action: Action, action_index: int) -> QuantumCircuit:
         tket_qc = qiskit_to_tk(self.state, preserve_param_uuid=True)
-        transpile_pass = (
-            action.transpile_pass(self.device) if callable(action.transpile_pass) else action.transpile_pass
-        )
+        if action.name == "NoiseAwarePlacement":
+            # Handle NoiseAwarePlacement separately (requires error data)
+            if self.node_err is None or self.edge_err is None or self.readout_err is None:
+                self.node_err, self.edge_err, self.readout_err = prepare_noise_data(self.device)
+            assert callable(action.transpile_pass)
+            transpile_pass = action.transpile_pass(self.device, self.node_err, self.edge_err, self.readout_err)
+        else:
+            transpile_pass = (
+                action.transpile_pass(self.device) if callable(action.transpile_pass) else action.transpile_pass
+            )
         assert isinstance(transpile_pass, list)
-        for p in transpile_pass:
-            p.apply(tket_qc)
+        # Map TKET placement into a Qiskit layout
+        if action_index in self.actions_layout_indices:
+            try:
+                placement = transpile_pass[0].get_placement_map(tket_qc)
+            except Exception as e:
+                logger.warning(f"Placement failed ({action.name}): {e}. Falling back to original circuit.")
+                return tk_to_qiskit(tket_qc, replace_implicit_swaps=True)
+            else:
+                qc_tmp = tk_to_qiskit(tket_qc, replace_implicit_swaps=True)
+
+                qiskit_mapping = {
+                    qc_tmp.qubits[i]: placement[list(placement.keys())[i]].index[0] for i in range(len(placement))
+                }
+                layout = Layout(qiskit_mapping)
+
+                pm = PassManager([
+                    SetLayout(layout),
+                    FullAncillaAllocation(coupling_map=CouplingMap(self.device.build_coupling_map())),
+                    EnlargeWithAncilla(),
+                    ApplyLayout(),
+                ])
+                altered_qc = pm.run(qc_tmp)
+
+                self.layout = TranspileLayout(
+                    initial_layout=pm.property_set.get("layout"),
+                    input_qubit_mapping=pm.property_set["original_qubit_indices"],
+                    final_layout=pm.property_set["final_layout"],
+                    _output_qubit_list=altered_qc.qubits,
+                    _input_qubit_count=self.num_qubits_uncompiled_circuit,
+                )
+                return altered_qc
+
+        else:
+            for p in transpile_pass:
+                p.apply(tket_qc)
 
         qbs = tket_qc.qubits
         tket_qc.rename_units({qbs[i]: Qubit("q", i) for i in range(len(qbs))})
-        altered_qc = tk_to_qiskit(tket_qc)
+        altered_qc = tk_to_qiskit(tket_qc, replace_implicit_swaps=True)
 
         if action_index in self.actions_routing_indices:
             assert self.layout is not None
@@ -424,26 +588,36 @@ def _apply_bqskit_action(self, action: Action, action_index: int) -> QuantumCirc
         return bqskit_to_qiskit(bqskit_compiled_qc)
 
     def determine_valid_actions_for_state(self) -> list[int]:
-        """Determines and returns the valid actions for the current state."""
+        """Determine the valid actions for the current circuit state."""
+        # Check if circuit uses only native gates
         check_nat_gates = GatesInBasis(basis_gates=self.device.operation_names)
         check_nat_gates(self.state)
         only_nat_gates = check_nat_gates.property_set["all_gates_in_basis"]
 
-        if not only_nat_gates:
-            actions = self.actions_synthesis_indices + self.actions_opt_indices
-            if self.layout is not None:
-                actions += self.actions_routing_indices
-            return actions
-
-        check_mapping = CheckMap(coupling_map=self.device.build_coupling_map())
+        # Check if circuit is mapped to the device coupling map
+        check_mapping = CheckMap(coupling_map=CouplingMap(self.device.build_coupling_map()))
         check_mapping(self.state)
         mapped = check_mapping.property_set["is_swap_mapped"]
 
-        if mapped and self.layout is not None:  # The circuit is correctly mapped.
-            return [self.action_terminate_index, *self.actions_opt_indices]
+        if not only_nat_gates:
+            if not mapped:
+                # Non-native + unmapped → synthesis or optimization
+                return self.actions_synthesis_indices + self.actions_opt_indices
+            # Non-native + mapped → synthesis or mapping-preserving
+            return self.actions_synthesis_indices + self.actions_mapping_preserving_indices
 
-        if self.layout is not None:  # The circuit is not yet mapped but a layout is set.
+        if mapped:
+            if self.layout is not None:
+                # Native + fully mapped & layout assigned → terminate or fine-tune
+                return [
+                    self.action_terminate_index,
+                    *self.actions_mapping_preserving_indices,
+                    *self.actions_final_optimization_indices,
+                ]
+            # Mapped but no explicit layout yet → explore layout/mapping improvements
+            return self.actions_mapping_preserving_indices + self.actions_layout_indices + self.actions_mapping_indices
+        if self.layout is not None:
+            # Layout chosen but not mapped → must do routing
             return self.actions_routing_indices
-
-        # No layout applied yet
-        return self.actions_mapping_indices + self.actions_layout_indices + self.actions_opt_indices
+        # Not mapped and without layout → explore layout/mapping/optimizations
+        return self.actions_opt_indices + self.actions_layout_indices + self.actions_mapping_indices
diff --git a/src/mqt/predictor/utils.py b/src/mqt/predictor/utils.py
index faf3d0596..4112dfb13 100644
--- a/src/mqt/predictor/utils.py
+++ b/src/mqt/predictor/utils.py
@@ -15,7 +15,6 @@
 import sys
 from dataclasses import dataclass
 from typing import TYPE_CHECKING, Any
-from warnings import warn
 
 import networkx as nx
 import numpy as np
@@ -52,7 +51,7 @@ def timeout_watcher(
         TimeoutExceptionError: If the function call exceeds the timeout limit.
     """
     if sys.platform == "win32":
-        warn("Timeout is not supported on Windows.", category=RuntimeWarning, stacklevel=2)
+        logger.info("Timeout is not supported on Windows; running without timeout.")
         return func(*args) if isinstance(args, tuple | list) else func(args)
 
     class TimeoutExceptionError(Exception):  # Custom exception class
diff --git a/tests/compilation/test_predictor_rl.py b/tests/compilation/test_predictor_rl.py
index f9b0a938d..96f0a6d58 100644
--- a/tests/compilation/test_predictor_rl.py
+++ b/tests/compilation/test_predictor_rl.py
@@ -12,17 +12,20 @@
 
 import re
 from pathlib import Path
+from typing import TYPE_CHECKING
 
 import pytest
 from mqt.bench import BenchmarkLevel, get_benchmark
 from mqt.bench.targets import get_device
+from qiskit import QuantumCircuit
 from qiskit.circuit.library import CXGate
 from qiskit.qasm2 import dump
-from qiskit.transpiler import InstructionProperties, Target
-from qiskit.transpiler.passes import GatesInBasis
+from qiskit.transpiler import CouplingMap, InstructionProperties, Target
+from qiskit.transpiler.passes import CheckMap, GatesInBasis
 
 from mqt.predictor.rl import Predictor, rl_compile
 from mqt.predictor.rl.actions import (
+    Action,
     CompilationOrigin,
     DeviceIndependentAction,
     PassType,
@@ -32,13 +35,16 @@
 )
 from mqt.predictor.rl.helper import create_feature_dict, get_path_trained_model
 
+if TYPE_CHECKING:
+    from _pytest.monkeypatch import MonkeyPatch
+
 
 def test_predictor_env_reset_from_string() -> None:
     """Test the reset function of the predictor environment with a quantum circuit given as a string as input."""
     device = get_device("ibm_eagle_127")
     predictor = Predictor(figure_of_merit="expected_fidelity", device=device)
     qasm_path = Path("test.qasm")
-    qc = get_benchmark("dj", BenchmarkLevel.ALG, 3)
+    qc = get_benchmark("dj", BenchmarkLevel.INDEP, 3)
     with qasm_path.open("w", encoding="utf-8") as f:
         dump(qc, f)
     assert predictor.env.reset(qc=qasm_path)[0] == create_feature_dict(qc)
@@ -71,6 +77,7 @@ def test_qcompile_with_newly_trained_models() -> None:
     figure_of_merit = "expected_fidelity"
     device = get_device("ibm_falcon_127")
     qc = get_benchmark("ghz", BenchmarkLevel.ALG, 3)
+
     predictor = Predictor(figure_of_merit=figure_of_merit, device=device)
 
     model_name = "model_" + figure_of_merit + "_" + device.description
@@ -94,15 +101,19 @@ def test_qcompile_with_newly_trained_models() -> None:
     check_nat_gates = GatesInBasis(basis_gates=device.operation_names)
     check_nat_gates(qc_compiled)
     only_nat_gates = check_nat_gates.property_set["all_gates_in_basis"]
+    check_mapping = CheckMap(coupling_map=CouplingMap(device.build_coupling_map()))
+    check_mapping(qc_compiled)
+    mapped = check_mapping.property_set["is_swap_mapped"]
 
     assert qc_compiled.layout is not None
     assert compilation_information is not None
-    assert only_nat_gates, "Circuit should only contain native gates but was not detected as such"
+    assert only_nat_gates, "Circuit should only contain native gates but was not detected as such."
+    assert mapped, "Circuit should be mapped to the device's coupling map."
 
 
 def test_qcompile_with_false_input() -> None:
     """Test the qcompile function with false input."""
-    qc = get_benchmark("dj", BenchmarkLevel.ALG, 5)
+    qc = get_benchmark("dj", BenchmarkLevel.INDEP, 5)
     with pytest.raises(ValueError, match=re.escape("figure_of_merit must not be None if predictor_singleton is None.")):
         rl_compile(qc, device=get_device("quantinuum_h2_56"), figure_of_merit=None)
     with pytest.raises(ValueError, match=re.escape("device must not be None if predictor_singleton is None.")):
@@ -120,6 +131,58 @@ def test_warning_for_unidirectional_device() -> None:
         Predictor(figure_of_merit="expected_fidelity", device=target)
 
 
+def test_fom_aware_compile_fallback(monkeypatch: MonkeyPatch) -> None:
+    """Test fallback of the fom_aware_compile function in case of a compilation failure."""
+    qc = QuantumCircuit(2)
+    qc.swap(0, 1)
+
+    dummy_action = Action(
+        name="DummyAction",
+        origin=CompilationOrigin.QISKIT,
+        pass_type=PassType.MAPPING,
+        transpile_pass=lambda _device: [],  # no passes applied
+    )
+
+    predictor = Predictor(figure_of_merit="critical_depth", device=get_device("ibm_eagle_127"))
+    monkeypatch.setattr(
+        predictor.env, "calculate_reward", lambda _circ: (_ for _ in ()).throw(RuntimeError("fake error"))
+    )
+    compiled_qc, prop_set = predictor.env.fom_aware_compile(dummy_action, None, qc, max_iteration=1)
+
+    assert isinstance(compiled_qc, QuantumCircuit)
+    assert isinstance(prop_set, dict)
+    assert "swap" in compiled_qc.count_ops()
+
+
+def test_tket_action_layout_failure() -> None:
+    """Test fallback in case of TKET layout placement failure."""
+    qc = QuantumCircuit(1)
+
+    class FakePass:
+        def get_placement_map(self, _: object) -> None:
+            msg = "fake placement failure"
+            raise RuntimeError(msg)
+
+        def apply(self, _: object) -> None:
+            pass
+
+    dummy_action = Action(
+        name="DummyLayout",
+        origin=CompilationOrigin.TKET,
+        pass_type=PassType.LAYOUT,
+        transpile_pass=lambda _device: [FakePass()],
+    )
+
+    predictor = Predictor(figure_of_merit="estimated_success_probability", device=get_device("ibm_eagle_127"))
+    predictor.env.actions_layout_indices.append(0)
+    predictor.env.state = qc
+    apply_tket = predictor.env._apply_tket_action  # noqa: SLF001
+    result_qc = apply_tket(dummy_action, 0)
+
+    assert isinstance(result_qc, QuantumCircuit)
+    assert result_qc.num_qubits == 1
+
+
 def test_register_action() -> None:
     """Test the register_action function."""
     action = DeviceIndependentAction(
diff --git a/tests/device_selection/test_predictor_ml.py b/tests/device_selection/test_predictor_ml.py
index 0b2f1485f..803c822a6 100644
--- a/tests/device_selection/test_predictor_ml.py
+++ b/tests/device_selection/test_predictor_ml.py
@@ -43,7 +43,7 @@ def test_setup_device_predictor_with_prediction(path_uncompiled_circuits: Path,
         path_compiled_circuits.mkdir()
 
     for i in range(2, 8):
-        qc = get_benchmark("ghz", BenchmarkLevel.ALG, i)
+        qc = get_benchmark("ghz", BenchmarkLevel.INDEP, i)
         path = path_uncompiled_circuits / f"qc{i}.qasm"
         with path.open("w", encoding="utf-8") as f:
             dump(qc, f)
@@ -63,7 +63,7 @@ def test_setup_device_predictor_with_prediction(path_uncompiled_circuits: Path,
     assert (data_path / "names_list_expected_fidelity.npy").exists()
     assert (data_path / "scores_list_expected_fidelity.npy").exists()
 
-    test_qc = get_benchmark("ghz", BenchmarkLevel.ALG, 3)
+    test_qc = get_benchmark("ghz", BenchmarkLevel.INDEP, 3)
     predicted = predict_device_for_figure_of_merit(test_qc, figure_of_merit="expected_fidelity")
 
     assert predicted.description == "ibm_falcon_127"
@@ -93,7 +93,7 @@ def test_remove_files(path_uncompiled_circuits: Path, path_compiled_circuits: Pa
 def test_predict_device_for_figure_of_merit_no_suitable_device() -> None:
     """Test the prediction of the device for a given figure of merit with a wrong device name."""
     num_qubits = 130
-    qc = get_benchmark("ghz", BenchmarkLevel.ALG, num_qubits)
+    qc = get_benchmark("ghz", BenchmarkLevel.INDEP, num_qubits)
     with pytest.raises(
         ValueError, match=re.escape(f"No suitable device found for the given quantum circuit with {num_qubits} qubits.")
     ):
diff --git a/tests/hellinger_distance/test_estimated_hellinger_distance.py b/tests/hellinger_distance/test_estimated_hellinger_distance.py
index d13151d51..14d2ac3ea 100644
--- a/tests/hellinger_distance/test_estimated_hellinger_distance.py
+++ b/tests/hellinger_distance/test_estimated_hellinger_distance.py
@@ -11,7 +11,6 @@
 from __future__ import annotations
 
 import re
-import sys
 import warnings
 from pathlib import Path
 from typing import TYPE_CHECKING
@@ -217,20 +216,12 @@ def test_train_and_qcompile_with_hellinger_model(source_path: Path, target_path:
                 dump(qc, f)
 
         # Generate compiled circuits (using trained RL model)
-        if sys.platform == "win32":
-            with pytest.warns(RuntimeWarning, match=re.escape("Timeout is not supported on Windows.")):
-                ml_predictor.compile_training_circuits(
-                    timeout=600, path_compiled_circuits=target_path, path_uncompiled_circuits=source_path, num_workers=1
-                )
-        else:
-            ml_predictor.compile_training_circuits(
-                timeout=600, path_compiled_circuits=target_path, path_uncompiled_circuits=source_path, num_workers=1
-            )
+        ml_predictor.compile_training_circuits(
+            timeout=6000, path_compiled_circuits=target_path, path_uncompiled_circuits=source_path
+        )
 
         # Generate training data from the compiled circuits
-        ml_predictor.generate_training_data(
-            path_uncompiled_circuits=source_path, path_compiled_circuits=target_path, num_workers=1
-        )
+        ml_predictor.generate_training_data(path_uncompiled_circuits=source_path, path_compiled_circuits=target_path)
 
         for file in [
             "training_data_estimated_hellinger_distance.npy",
diff --git a/uv.lock b/uv.lock
index 3aaa272b4..db59b3577 100644
--- a/uv.lock
+++ b/uv.lock
@@ -11,6 +11,9 @@ resolution-markers = [
     "(python_full_version < '3.11' and 'x86_64' not in platform_machine) or (python_full_version < '3.11' and sys_platform != 'darwin')",
 ]
 
+[manifest]
+overrides = [{ name = "networkx", specifier = "==2.8.5" }]
+
 [[package]]
 name = "absl-py"
 version = "2.3.1"
@@ -107,36 +110,45 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/b7/b8/3fe70c75fe32afc4bb507f75563d39bc5642255d1d94f1f23604725780bf/babel-2.17.0-py3-none-any.whl", hash = "sha256:4d0b53093fdfb4b21c92b5213dba5a1b23885afa8383709427046b21c366e5f2", size = 10182537, upload-time = "2025-02-01T15:17:37.39Z" },
 ]
 
+[[package]]
+name = "backoff"
+version = "2.2.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/47/d7/5bbeb12c44d7c4f2fb5b56abce497eb5ed9f34d85701de869acedd602619/backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba", size = 17001, upload-time = "2022-10-05T19:19:32.061Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/df/73/b6e24bd22e6720ca8ee9a85a0c4a2971af8497d8f3193fa05390cbd46e09/backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8", size = 15148, upload-time = "2022-10-05T19:19:30.546Z" },
+]
+
 [[package]]
 name = "beautifulsoup4"
-version = "4.13.5"
+version = "4.13.4"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "soupsieve" },
     { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/85/2e/3e5079847e653b1f6dc647aa24549d68c6addb4c595cc0d902d1b19308ad/beautifulsoup4-4.13.5.tar.gz", hash = "sha256:5e70131382930e7c3de33450a2f54a63d5e4b19386eab43a5b34d594268f3695", size = 622954, upload-time = "2025-08-24T14:06:13.168Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/d8/e4/0c4c39e18fd76d6a628d4dd8da40543d136ce2d1752bd6eeeab0791f4d6b/beautifulsoup4-4.13.4.tar.gz", hash = "sha256:dbb3c4e1ceae6aefebdaf2423247260cd062430a410e38c66f2baa50a8437195", size = 621067, upload-time = "2025-04-15T17:05:13.836Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/50/cd/30110dc0ffcf3b131156077b90e9f60ed75711223f306da4db08eff8403b/beautifulsoup4-4.13.4-py3-none-any.whl", hash = "sha256:9bbbb14bfde9d79f38b8cd5f8c7c85f4b8f2523190ebed90e950a8dea4cb1c4b", size = 187285, upload-time = "2025-04-15T17:05:12.221Z" },
 ]
 
 [[package]]
 name = "bqskit"
-version = "1.2.1"
+version = "1.2.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "bqskitrs" },
     { name = "dill" },
     { name = "lark" },
     { name = "numpy", version = "1.26.4", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11' or (python_full_version < '3.13' and 'x86_64' in platform_machine and sys_platform == 'darwin')" },
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+    { name = "numpy", version = "2.3.2", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.11' and python_full_version < '3.13' and 'x86_64' not in platform_machine) or (python_full_version >= '3.11' and sys_platform != 'darwin') or (python_full_version >= '3.13' and sys_platform == 'darwin')" },
     { name = "scipy", version = "1.15.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
-    { name = "scipy", version = "1.16.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
+    { name = "scipy", version = "1.16.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
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