* Modified ActorCriticPolicy to support non-shared features extractor
* Refactored features extraction with non-shared features extractor in ActorCriticPolicy and updated doc
Doc update: added 'warning' on custom policy docs that says that, if the features extractor is non-shared, it's not possible to have shared layers in the mlp_extractor
* Moved attrib share_features_extractor in class
* Updated custom policy doc for non-shared features extractor
* Updated changelog
* Made some if-statements more readable if policies.py
The if-statements are related to the shared/non-shared features extractor in ActorCritic policies
* Simplify implementation and add run test
* Keep order in module gain to keep previous results consistents
* Fix test
* Improved docstring in policies.py
Co-authored-by: Quentin Gallouédec <45557362+qgallouedec@users.noreply.github.com>
* Added some tests
* feature extractor -> features extractor
* Fix test
* Fix env_id in test
* Make features extractor parameter explicit
* Remove duplicate
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
Co-authored-by: Quentin Gallouédec <45557362+qgallouedec@users.noreply.github.com>
Co-authored-by: Antonin Raffin <antonin.raffin@dlr.de>
* Fix support of image like normalized inputs
* Improve docstring and warning message.
* Don't check if obs is image when normalize_images is False (lil opt)
* Comment fix
* Fix normalize_images not passed to parent
* Check for subclasses too
* Remove useless multiline
* Update version and add comment
* Fix some typos
Co-authored-by: Quentin Gallouédec <45557362+qgallouedec@users.noreply.github.com>
* Raise error when same env object instance is passed in vectorized environment
* At to changelog
* Add raises to docstring
* Add test
* Also test make_vec_env
* Fix test
* Try to enable color for MyPy
* Update version and ignore lint warnings
Co-authored-by: Quentin Gallouédec <45557362+qgallouedec@users.noreply.github.com>
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
Co-authored-by: Antonin Raffin <antonin.raffin@dlr.de>
* Install and configure mypy
* Test if github CI uses setup.cfg for mypy
* force color output
* tab to space
* Try to fix regex
* follow_imports silent
* use space as indentation
* fix indentation setup.cfg
* Show error code
* Update doc
* Udate changelog
* Ignore mypy cache files from commit
* Update gitlab CI
* Add pytype and mypy entry in Makefile
* Make mypy happy
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
* Add PolicyPredictor protocol and use it in evaluate_policy
* Update changelog
* Move Protocol to type_aliases to avoid circular import
* Add test for evaluate_policy on BasePolicy
* Remove unused import
* Use typing_extensions
* Move typing_extensions to 3rd party
* Add version range (typing_extensions uses SemVer)
* Import Protocol from typing_extensions only on Python<3.8
Co-authored-by: Quentin Gallouédec <45557362+qgallouedec@users.noreply.github.com>
* Install typing_extensions only on Python<3.8
* Add missing sys import
* Fix import ordering
* Fix observation type hint in predict
Co-authored-by: Quentin Gallouédec <45557362+qgallouedec@users.noreply.github.com>
Co-authored-by: Quentin GALLOUÉDEC <gallouedec.quentin@gmail.com>
* Adds deprecation warning if `eval_env` or `eval_freq` parameters are used. See #925
* added changelog entry
* added missing backtick
* deprecating `create_eval_env` parameter as well and adding comments to explain the `stacklevel` parameter used
* Updated tests to ignore DeprecationWarnings
* Updated changelog entry
* - Removed the `create_eval_env` parameter from the examples in the docs
- Removed information about the `create_eval_env` parameter from the migration docs
- Added information about deprecation of the `create_eval_env` parameter in the docs
* Add alternative in docstring
* Update docstrings
* `eval_freq` warning in docstring
* Add deprecation comments in tests
Co-authored-by: Quentin Gallouédec <45557362+qgallouedec@users.noreply.github.com>
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
Co-authored-by: Quentin GALLOUÉDEC <gallouedec.quentin@gmail.com>
* Add progress bar callback and argument
* Update doc
* Update changelog
* Upgrade pytype in docker image
* Use tqdm.write in the logger to have cleaner output
* Fix logger test
* Fix when doing multiple calls to learn()
* Address comments from code-review
* Fix loading with new `n_envs`
* Update tests
* Update changelog
* Fix the fix
* Remove `self._setup_model()` from `set_env()`
* Raise `AssertionError` when setting env with a different `n_envs`
* Update unitests
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
* Added option to override or use existing CSVs
* Updated changelog for Monitor override
* Changed default value to override
* Simplify code and add test
* Update version
* Fix for pytype
Co-authored-by: Antonin Raffin <antonin.raffin@ensta.org>
* fix nan in advnatages with batch size 1, for ppo
* changelog
* black
* Simplify test
* Bump version
Co-authored-by: Antonin Raffin <antonin.raffin@ensta.org>
* include `running_mean` and `running_val` when updating target networks in DQN, SAC, TD3.
* Update stable_baselines3/common/utils.py
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
* Precompute batch norm parameters in `_setup_model` and directly copy them in the target update.
* include `running_mean` and `running_val` when updating target networks in DQN, SAC, TD3.
* Update stable_baselines3/common/utils.py
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
* Precompute batch norm parameters in `_setup_model` and directly copy them in the target update.
* Fix `DictReplayBuffer.next_observations` type (#1013)
* Fix DictReplayBuffer.next_observations type
* Update changelog
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
* Fixed missing verbose parameter passing (#1011)
Co-authored-by: Quentin Gallouédec <45557362+qgallouedec@users.noreply.github.com>
* Support for `device=auto` buffers and set it as default value (#1009)
* Default device is "auto" for buffer + auto device support in BufferBaseClass
* Update docstring
* Update tests
* Unify tests
* Update changelog
* Fix tests on CUDA device
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
Co-authored-by: Antonin Raffin <antonin.raffin@dlr.de>
* Precompute batch norm parameters in `_setup_model` and directly copy them in the target update.
* Update test
* Add comments and update tests
* Bump version
* Remove one extra space to conform code style.
* Update docstrings
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
Co-authored-by: Quentin Gallouédec <45557362+qgallouedec@users.noreply.github.com>
Co-authored-by: Burak Demirbilek <BurakDmb@users.noreply.github.com>
Co-authored-by: Antonin Raffin <antonin.raffin@dlr.de>
* create Hparam class & support in all OutputFormats
* add hparams documentation & example
* add hparam tests
* remove unnecessary test & fix name
* format changes
* support hyperparameters logging to tensorboard
* fix HParams class docstring
* use more explicit variable names
* raise error instead of warning
* Unpin protobuf
* Add test for logging hparams
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
* Handle non 1D action shape
* Revert changes of observation (out of the scope of this PR)
* Apply changes to DictReplayBuffer
* Update tests
* Rollout buffer n-D actions space handling
* Remove error when non 1D action space
* ActorCriticPolicy return action with the proper shape
* remove useless reshape
* Update changelog
* Add tests
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
* Use higher resolution time and round up to eps
* Update changelog
* Add test case
* Fix formatting, time()->time_ns
* Bugfix: ns is integer not float
* Move test to better place
* Divide by 1e9 earlier
* `arr[0]` to `arr.squeeze(0)`
* `squeeze(axis=0)` to `squeeze(0)`
* Type testing
* Add type test for unvectorized observation
* `squeeze(0)` to `squeeze(axis=0)`
* Treatment of the laziness symptoms
* Update changelog
* Udate changelog
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
* Prohibit simultaneous use of optimize_memory_buffer and handle_timeout_termination
* Modify test to avoid unsupported buffer configuration
* Change from assertion to raising of ValueError
* Update changelog
* Update style for consistency
* Use handle_timeout_termination when possible
Co-authored-by: Anssi <kaneran21@hotmail.com>
Co-authored-by: Antonin Raffin <antonin.raffin@ensta.org>
* Fixed unchecked None value in SubprocVecEnv
* Fixed unchecked None value in DummyVecEnv
* Fix formatting
* Update test and changelog
* Improve test
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
* escape tensorboard log name
Otherwise utils does not recognize the log.
* Added fix to changelog
* Modifications made by: make commit-checks .
* Revert "Modifications made by: make commit-checks ."
This reverts commit 529a275d9475f85ef031038a8f3565f7301e5371.
* Update changelog and add test
Co-authored-by: James Hirschorn <James.Hirschorn@quantitative-technologies.com>
* Added StopTrainingOnNoModelImprovement callback and callback_after_eval parameter in EvalCallback
* Correction in EvalCallback and tests for StopTrainingOnNoModelImprovement
* Update the docs related to new StopTrainingOnNoModelImprovement callback
* Update doc
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
Co-authored-by: Antonin Raffin <antonin.raffin@dlr.de>
* Allow PPO to turn of advantage normalization
* update changelog
* Add a test case
* Update test and sanity check
* Fix tests
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
* Make HumanOutputFormat length configurable and bump to 36 by default
* Add test case
* Updated changelog
* Blacken
* Blacken code
* Fix GitLab CI: switch to Docker container with new black version
* Incorporate suggestion
* Add class docstring
* Dummy commit to retrigger GitLab
Co-authored-by: Anssi <kaneran21@hotmail.com>
* fix Atari in CI
* fix dtype and atari extra
* Update setup.py
* remove 3.6
* note about how to install Atari
* pendulum-v1
* atari v5
* black
* fix pendulum capitalization
* add minimum version
* moved things in changelog to breaking changes
* partial v5 fix
* env update to pass tests
* mismatch env version fixed
* Fix tests after merge
* Include autorom in setup.py
* Blacken code
* Fix dtype issue in more robust way
* Fix GitLab CI: switch to Docker container with new black version
* Remove workaround from GitLab. (May need to rebuild Docker for this though.)
* Revert to v4
* Update setup.py
* Apply suggestions from code review
* Remove unnecessary autorom
* Consistent gym versions
Co-authored-by: J K Terry <justinkterry@gmail.com>
Co-authored-by: Anssi <kaneran21@hotmail.com>
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
Co-authored-by: modanesh <mohamad4danesh@gmail.com>
Co-authored-by: Adam Gleave <adam@gleave.me>
* Writing the additional info_keywords into the episode infos that are passed to the resulst writer. Directly taken from the non-vec version of monitor.
* Added test for monitoring info_keywords.
* Removed unnecessary step of registering the env. Not using make_vec_env, because it applies a monitor wrapper to the env.
* Reformat
Co-authored-by: Antonin Raffin <antonin.raffin@ensta.org>
* Add multi-env training support for SAC
* Fix for dict obs
* Pytype fixes
* Fix assert on number of envs
* Remove for loop
* Add support for Dict obs
* Start cleanup
* Update doc and bug fix
* Add support for vectorized action noise
and add multi env example for off-policy
* Update version
* Bug fix with VecNormalize
* Update README table
* Update variable names
* Update changelog and version
* Update doc and fix for `gradient_steps=-1`
* Add test for `gradient_steps=-1`
* Disable pytype pyi errors
* Fix for DQN
* Update comment on deepcopy
* Remove episode_reward field
* Fix RolloutReturn
* Avoid modification by reference
* Fix error message
Co-authored-by: Anssi <kaneran21@hotmail.com>
