chore: bump stable-baselines3 from 1.5.0 to 1.6.0

[dependabot]

Bumps stable-baselines3 from 1.5.0 to 1.6.0.

Release notes

Sourced from stable-baselines3's releases.

SB3 v1.6.0: Recurrent PPO (PPO LSTM), better defaults for learning from pixels with SAC/TD3

SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib

Breaking Changes:

• Changed the way policy "aliases" are handled ("MlpPolicy", "CnnPolicy", ...), removing the former register_policy helper, policy_base parameter and using policy_aliases static attributes instead (@​Gregwar)
• SB3 now requires PyTorch >= 1.11
• Changed the default network architecture when using CnnPolicy or MultiInputPolicy with SAC or DDPG/TD3, share_features_extractor is now set to False by default and the net_arch=[256, 256] (instead of net_arch=[] that was before)

SB3-Contrib

• Added Recurrent PPO (PPO LSTM). See Stable-Baselines-Team/stable-baselines3-contrib#53

Bug Fixes:

• Fixed saving and loading large policies greater than 2GB (@​jkterry1, @​ycheng517)
• Fixed final goal selection strategy that did not sample the final achieved goal (@​qgallouedec)
• Fixed a bug with special characters in the tensorboard log name (@​quantitative-technologies)
• Fixed a bug in DummyVecEnv's and SubprocVecEnv's seeding function. None value was unchecked (@​ScheiklP)
• Fixed a bug where EvalCallback would crash when trying to synchronize VecNormalize stats when observation normalization was disabled
• Added a check for unbounded actions
• Fixed issues due to newer version of protobuf (tensorboard) and sphinx
• Fix exception causes all over the codebase (@​cool-RR)
• Prohibit simultaneous use of optimize_memory_usage and handle_timeout_termination due to a bug (@​MWeltevrede)
• Fixed a bug in kl_divergence check that would fail when using numpy arrays with MultiCategorical distribution

Others:

• Upgraded to Python 3.7+ syntax using pyupgrade
• Removed redundant double-check for nested observations from BaseAlgorithm._wrap_env (@​TibiGG)

Documentation:

• Added link to gym doc and gym env checker
• Fix typo in PPO doc (@​bcollazo)
• Added link to PPO ICLR blog post
• Added remark about breaking Markov assumption and timeout handling
• Added doc about MLFlow integration via custom logger (@​git-thor)
• Updated Huggingface integration doc
• Added copy button for code snippets
• Added doc about EnvPool and Isaac Gym support

Commits

• c1f1c3d Release v1.6.0 (#958)
• ef10189 Prohibit simultaneous use of optimize_memory_usage and handle_timeout_termina...
• d64bcb4 Fix exception cause in base_class.py (#940)
• 7ce7b6a Update defaults for offpolicy algos with features extractor (#935)
• d68f0a2 Update doc: SB3 Contrib RecurrentPPO (#927)
• 4b89fbf Fix issues due to newer version of protobuf and sphinx (#924)
• 49813d8 Update doc and add check for unbounded action space (#918)
• 2fcf8f9 Removed redundant double-check of nested Dict (#908)
• 0fadc94 Fix synchronization bug with EvalCallback (#907)
• c2518dc Add doc to use mlflow logger (#889)
• Additional commits viewable in compare view

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[dependabot]

Superseded by #61.