* 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>
* 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>
* 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>
* Add `system_env_info`
* Add `print_system_info` to load
and store system info at save time
* Remove TODO
* Rename to `get_system_info`
* Import as sb3 for consistency
* Update changelog
* Add warning for old SB3 versions
* Use underscore litteral for more clarity
* Add warning about total_env_steps not dividing neatly into batch size
* Stylistic cleanup
* Black reformatting
* Add clearer documentation and update changelog
* Update changelog.rst
* Use specific RolloutBuffer terminology
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
* Change to minibatch language
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
* Cleaning up language describing rollout buffer requirements
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
* Switch to using env.num_envs
* Working tests
* Black and isort still fighting each other
* codestyle finally happy
* Basic test exists, possibly in the wrong file
* Update phrasing
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
* Update evaluate_policy to use monitor data if available
* Update documentation
* Cleaning up
* Remove unnecessary typing trickery
* Update doc
* Rename is_wrapped to clarify it is for vecenvs
* Add is_wrapped for regular envs
* Add is_wrapped call for subprocvecenv and update code for circular imports
* Move new functions back to env_util and fix imports
* Update changelog
* Clarify evaluate_policy docs
* Add tests for wrapped modifying episode lengths
* Fix tests
* Update changelog
* Minor edits
* Add warn switch to evaluate_policy and update tests
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
* Allow env_kwargs in make_vec_env when env ID string supplied
Resolves#188
* Update docs/misc/changelog.rst
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
* Add test for env kargs in make_vec_env
* remove unnecessary args in test_vec_env_kwargs function
* Fixes and reformat
* Doc fix
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
* Add custom arch for off-policy actor/critic networks
* Fix type hints
* Address comments
* Make sure number of updated parameters match in polyak
* Add zip_strict for strict-length zipping
* Fix building docs
* Add test for zip strict
* Faster tests
Co-authored-by: Anssi "Miffyli" Kanervisto <kaneran21@hotmail.com>
* Add auto formatting with black and isort
* Reformat code
* Ignore typing errors
* Add note about line length
* Add minimum version for isort
* Add commit-checks
* Update docker image
* Fixed lost import (during last merge)
* Fix opencv dependency
* Created DQN template according to the paper.
Next steps:
- Create Policy
- Complete Training
- Debug
* Changed Base Class
* refactor save, to be consistence with overriding the excluded_save_params function. Do not try to exclude the parameters twice.
* Added simple DQN policy
* Finished learn and train function
- missing correct loss computation
* changed collect_rollouts to work with discrete space
* moved discrete space collect_rollouts to dqn
* basic dqn working
* deleted SDE related code
* added gradient clipping and moved greedy policy to policy
* changed policy to implement target network
and added soft update(in fact standart tau is 1 so hard update)
* fixed policy setup
* rebase target_update_intervall on _n_updates
* adapted all tests
all tests passing
* Move to stable-baseline3
* Fixes for DQN
* Fix tests + add CNNPolicy
* Allow any optimizer for DQN
* added some util functions to create a arbitrary linear schedule, fixed pickle problem with old exploration schedule
* more documentation
* changed buffer dtype
* refactor and document
* Added Sphinx Documentation
Updated changelog.rst
* removed custom collect_rollouts as it is no longer necessary
* Implemented suggestions to clean code and documentation.
* extracted some functions on tests to reduce duplicated code
* added support for exploration_fraction
* Fixed exploration_fraction
* Added documentation
* Fixed get_linear_fn -> proper progress scaling
* Merged master
* Added nature reference
* Changed default parameters to https://www.nature.com/articles/nature14236/tables/1
* Fixed n_updates to be incremented correctly
* Correct train_freq
* Doc update
* added special parameter for DQN in tests
* different fix for test_discrete
* Update docs/modules/dqn.rst
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
* Update docs/modules/dqn.rst
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
* Update docs/modules/dqn.rst
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
* Added RMSProp in optimizer_kwargs, as described in nature paper
* Exploration fraction is inverse of 50.000.000 (total frames) / 1.000.000 (frames with linear schedule) according to nature paper
* Changelog update for buffer dtype
* standard exlude parameters should be always excluded to assure proper saving only if intentionally included by ``include`` parameter
* slightly more iterations on test_discrete to pass the test
* added param use_rms_prop instead of mutable default argument
* forgot alpha
* using huber loss, adam and learning rate 1e-4
* account for train_freq in update_target_network
* Added memory check for both buffers
* Doc updated for buffer allocation
* Added psutil Requirement
* Adapted test_identity.py
* Fixes with new SB3 version
* Fix for tensorboard name
* Convert assert to warning and fix tests
* Refactor off-policy algorithms
* Fixes
* test: remove next_obs in replay buffer
* Update changelog
* Fix tests and use tmp_path where possible
* Fix sampling bug in buffer
* Do not store next obs on episode termination
* Fix replay buffer sampling
* Update comment
* moved epsilon from policy to model
* Update predict method
* Update atari wrappers to match SB2
* Minor edit in the buffers
* Update changelog
* Merge branch 'master' into dqn
* Update DQN to new structure
* Fix tests and remove hardcoded path
* Fix for DQN
* Disable memory efficient replay buffer by default
* Fix docstring
* Add tests for memory efficient buffer
* Update changelog
* Split collect rollout
* Move target update outside `train()` for DQN
* Update changelog
* Update linear schedule doc
* Cleanup DQN code
* Minor edit
* Update version and docker images
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
* Implemented Vectorized Action Noise
Vectorized Action Noise allows for multiple instances of
ActionNoiseProcesses to run in parallel. This makes it easier to
run TD3/SAC/DDPG with VecEnv.
* fixed linting issues
* make test function name consistent
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
* sanity checks and more detailed test
* Update stable_baselines3/common/noise.py
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
* Added assertion error message in noises setter
* Corrected tests to reflect change to AssertionError from ValueError
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
