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README.md 2025-01-27 2.1 kB
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v2.5.0_ New algorithm (SimBa in SBX) and NumPy 2.0 support source code.tar.gz 2025-01-27 1.4 MB
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SB3 Contrib (more algorithms): https://github.com/Stable-Baselines-Team/stable-baselines3-contrib RL Zoo3 (training framework): https://github.com/DLR-RM/rl-baselines3-zoo Stable-Baselines Jax (SBX): https://github.com/araffin/sbx

To upgrade:

pip install stable_baselines3 sb3_contrib rl_zoo3 --upgrade

Breaking Changes:

  • Increased minimum required version of PyTorch to 2.3.0
  • Removed support for Python 3.8

New Features:

  • Added support for NumPy v2.0: VecNormalize now cast normalized rewards to float32, updated bit flipping env to avoid overflow issues too
  • Added official support for Python 3.12

SBX (SB3 + Jax)

  • Added SimBa Policy: Simplicity Bias for Scaling Up Parameters in DRL
  • Added support for parameter resets

Others:

  • Updated Dockerfile

Documentation:

  • Added Decisions and Dragons to resources. (@jmacglashan)
  • Updated PyBullet example, now compatible with Gymnasium
  • Added link to policies for policy_kwargs parameter (@kplers)
  • Add FootstepNet Envs to the project page (@cgaspard3333)
  • Added FRASA to the project page (@MarcDcls)
  • Fixed atari example (@chrisgao99)
  • Add a note about Discrete action spaces with start!=0
  • Update doc for massively parallel simulators (Isaac Lab, Brax, ...)
  • Add dm_control example

New Contributors

Full Changelog: https://github.com/DLR-RM/stable-baselines3/compare/v2.4.0...v2.5.0

Source: README.md, updated 2025-01-27