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SB3 v1.1.0
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@araffin araffin released this 02 Jul 10:08
· 129 commits to master since this release
v1.1.0
96f1a59
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Learn about vigilant mode.

Breaking Changes

  • Upgrade to Stable-Baselines3 (SB3) >= 1.1.0
  • Upgrade to sb3-contrib >= 1.1.0
  • Add timeout handling (cf SB3 doc)
  • HER is now a replay buffer class and no more an algorithm
  • Removed PlotNoiseRatioCallback
  • Removed PlotActionWrapper
  • Changed 'lr' key in Optuna param dict to 'learning_rate' so the dict can be directly passed to SB3 methods (@justinkterry)

New Features

  • Add support for recording videos of best models and checkpoints (@mcres)
  • Add support for recording videos of training experiments (@mcres)
  • Add support for dictionary observations
  • Added experimental parallel training (with utils.callbacks.ParallelTrainCallback)
  • Added support for using multiple envs for evaluation
  • Added --load-last-checkpoint option for the enjoy script
  • Save Optuna study object at the end of hyperparameter optimization and plot the results (plotly package required)
  • Allow to pass multiple folders to scripts/plot_train.py
  • Flag to save logs and optimal policies from each training run (@justinkterry)

Bug fixes

  • Fixed video rendering for PyBullet envs on Linux
  • Fixed get_latest_run_id() so it works in Windows too (@NicolasHaeffner)
  • Fixed video record when using HER replay buffer

Documentation

  • Updated README (dict obs are now supported)

Other

  • Added is_bullet() to ExperimentManager
  • Simplify close() for the enjoy script
  • Updated docker image to include latest black version
  • Updated TD3 Walker2D model (thanks @modanesh)
  • Fixed typo in plot title (@scottemmons)
  • Minimum cloudpickle version added to requirements.txt (@amy12xx)
  • Fixed atari-py version (ROM missing in newest release)
  • Updated SAC and TD3 search spaces
  • Cleanup eval_freq documentation and variable name changes (@justinkterry)
  • Add clarifying print statement when printing saved hyperparameters during optimization (@justinkterry)
  • Clarify n_evaluations help text (@justinkterry)
  • Simplified hyperparameters files making use of defaults
  • Added new TQC+HER agents
  • Add panda-gymenvironments (@qgallouedec)
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