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cda-tum / mqt-predictor

MQT Predictor - A MQT tool for Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing
MIT License
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⬆️ Update sb3-contrib requirement from <2.2.2,>=2.0.0 to >=2.0.0,<2.3.1 in the python-dependencies group #213

Closed dependabot[bot] closed 3 months ago

dependabot[bot] commented 3 months ago

Updates the requirements on sb3-contrib to permit the latest version. Updates sb3-contrib to 2.3.0

Release notes

Sourced from sb3-contrib's releases.

SB3-Contrib v2.3.0: New defaults hyperparameters for QR-DQN

Breaking Changes:

  • Upgraded to Stable-Baselines3 >= 2.3.0
  • The default learning_starts parameter of QRDQN have been changed to be consistent with the other offpolicy algorithms
# SB3 < 2.3.0 default hyperparameters, 50_000 corresponded to Atari defaults hyperparameters
# model = QRDQN("MlpPolicy", env, learning_starts=50_000)
# SB3 >= 2.3.0:
model = QRDQN("MlpPolicy", env, learning_starts=100)

New Features:

  • Added rollout_buffer_class and rollout_buffer_kwargs arguments to MaskablePPO
  • Log success rate rollout/success_rate when available for on policy algorithms

Others:

  • Fixed train_freq type annotation for tqc and qrdqn (@​Armandpl)
  • Fixed sb3_contrib/common/maskable/*.py type annotations
  • Fixed sb3_contrib/ppo_mask/ppo_mask.py type annotations
  • Fixed sb3_contrib/common/vec_env/async_eval.py type annotations

Documentation:

  • Add some additional notes about MaskablePPO (evaluation and multi-process) (@​icheered)

Full Changelog: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib/compare/v2.2.1...v2.3.0

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dependabot[bot] commented 3 months ago

Looks like sb3-contrib is updatable in another way, so this is no longer needed.