Commit graph

16 commits

Author SHA1 Message Date
M. Ernestus
0c50d75ecb
TD3 Code review (#245)
* Removed unneeded overrides of feature_extractor and normalize_images in the TD3 Actor.

* Add learning rate schedule example (#248)

* Add learning rate schedule example

* Update docs/guide/examples.rst

Co-authored-by: Adam Gleave <adam@gleave.me>

* Address comments

Co-authored-by: Adam Gleave <adam@gleave.me>

* Add supported action spaces checks (#254)

* Add supported action spaces checks

* Address comment

* Use `pass` in an abstractmethod instead of deleting the arguments.

* Remove the "deterministic" keyword from the forward method of the TD3 Actor since it always is deterministic anyways.

* Rename _get_data to _get_data_to_reconstruct_model.

_get_data was too generic and could have meant anything.

* Remove the n_episodes_rollout parameter and allow passing tuples as train_freq instead.

* Fix docstring of `train_freq` parameter.

* Black fixes.

* Fix TD3 delayed update + rename `_get_data()`

* Fix TD3 test

* Normalize `train_freq` to a tuple in the constructor and turn the warning into an assert.

* Make one step the default train frequency.

* Black fixes.

* Change np.bool to bool.

* Use the tuple format to specify an amount of steps in terms of steps or episodes in the collect_collouts of the off policy algorithm.

* Use the tuple format to specify an amount of steps in terms of steps or episodes in the collect_collouts of HER.

* Use named tuple for train freq

* Rename train_freq to train_every and TrainFreq to ExperienceDuration. Also add some type annotations and documentation.

* Black fixes.

* Revert to train_freq

* Fix terminal observation issues

* Typo

* Fix action noise bug in HER

* Add assert when loading HER models

* Update version

Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
Co-authored-by: Adam Gleave <adam@gleave.me>
2021-02-27 17:33:50 +01:00
Antonin RAFFIN
d04aad2a20
Doc fixes and add monitor_kwargs parameter (#230)
* Fix type annotation

* Fix migration doc for A2C

* Update version

* Add `monitor_kwargs` argument

* Update docs/guide/migration.rst

Co-authored-by: Adam Gleave <adam@gleave.me>

* Fix make atari env

* Fix docstring

* Renamed LearningRateSchedule

Co-authored-by: Adam Gleave <adam@gleave.me>
2020-11-20 10:28:54 +01:00
Antonin RAFFIN
9069cf55f1
Fix DQN predict shape for single Gym env (#222)
* Fix DQN predict shape for single Gym env

* Remove unused imports
2020-11-17 00:43:26 +02:00
M. Ernestus
c74509ae9d
Add callable signatures to type annotations. (#215)
* Add callback signature to the learning rate type annotations.

* Add callback signature to the learning rate schedule type annotations.

* Add missing type annotations for learning rate callbacks.

* Add signature to old-style learning and evaluation callbacks.

* Add signature to env wrapper callback.

* Add type annotation to closure function.

* Use MaybeCallback more consistently.

* Update changelog.

* Remove now unused List import.

* Fix import order.

* Add type alias for learning rate schedules.

* Optimize imports.

* Fix messed up import.

* Remove resolved TODO.

Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
2020-11-15 17:50:28 +01:00
Antonin RAFFIN
0fc0dd1b21
Fix off policy features extractor (#198)
* Faster tests

* Fix feature extractor bug + add check

* Add missing check

* Allow TD3 features extractor to be separate

* Add share features extractor option for SAC

* Bug fixes

* Apply suggestions from code review

Co-authored-by: Adam Gleave <adam@gleave.me>

Co-authored-by: Adam Gleave <adam@gleave.me>
2020-10-27 14:24:59 +01:00
Antonin RAFFIN
2599f04940
Add custom arch for off-policy actor/critic networks (#182)
* 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>
2020-10-13 12:01:33 +02:00
Antonin RAFFIN
a1e055695c
Improve typing coverage (#175)
* Improve typing coverage

* Even more types

* Fixes

* Update changelog

* Unified docstrings

* Improve error messages for unsupported spaces
2020-10-07 10:51:49 +02:00
Antonin RAFFIN
55912576ed
Cleanup docstring types (#169)
* Cleanup docstring types

* Update style

* Test with js hack

* Revert "Test with js hack"

This reverts commit d091f438e8851ab8d01b66628e06a104f5e5ec69.

* Fix types

* Fix typo

* Update CONTRIBUTING example
2020-10-02 20:05:55 +03:00
Antonin RAFFIN
2c924f52f5
Update docs (custom policy, type hints) (#167)
* Change import

* Update custom policy doc

* Re-enable sphinx_autodoc_typehints

* Update docker image

* Attempt to fix read the doc build error

* Add sphinx_autodoc_typehints to read the doc env

* Fix pip version

* Add full custom policy example

* Fix
2020-09-29 20:41:14 +03:00
Sam Toyer
42ef6d4677
Remove "device" argument from policies (#141)
* Remove device arg from policies

* Clean up for PR

* Update test and doc

* Fix codestyle

Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
2020-08-23 13:27:52 +02:00
Antonin RAFFIN
23afedb254
Auto-formatting with black and isort (#97)
* 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
2020-07-16 16:12:16 +02:00
Antonin RAFFIN
3756d05f72
Refactored ContinuousCritic for SAC/TD3 (#78)
* Refactored ContinuousCritic for SAC/TD3

* Address comments

* Add pybullet notebook
2020-07-07 01:02:51 +03:00
Anssi
44f8218df0
Review of code (A2C, PPO and refactoring) (#35)
* Split torch module code into torch_layers file

* Updated reference to CNN

* Change 'CxWxH' to 'CxHxW', as per common notion

* Fix missing import in policies.py

* Move PPOPolicy to OnlineActorCriticPolicy

* Create OnPolicyRLModel from PPO, and make A2C and PPO inherit

* Update A2C optimizer comment

* Clean weight init scales for clarity

* Fix A2C log_interval default parameter

* Rename 'progress' to 'progress_remaining

* Rename 'Models' to 'Algorithms'

* Rename 'OnlineActorCriticPolicy' to 'ActorCriticPolicy'

* Move static functions out from BaseAlgorithm

* Move on/off_policy base algorithms to their own files

* Add  files for A2C/PPO

* Fix docs

* Fix pytype

* Update documentation on OnPolicyAlgorithm

* Add proper doctstring for on_policy rollout gathering

* Add bit clarification on the mlppolicy/cnnpolicy naming

* Move static function is_vectorized_policies to utils.py

* Checking docstrings, pep8 fixes

* Update changelog

* Clean changelog

* Remove policy warnings for sac/td3

* Add monitor_wrapper for OnPolicyAlgorithm. Clean tb logging variables. Add parameter keywords to OffPolicyAlgorithm super init

Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
2020-06-09 13:54:18 +02:00
Antonin RAFFIN
413a2386d9 Cleanup + reformat code 2020-05-08 15:10:46 +02:00
Antonin RAFFIN
c20af230f7 Remove SDE support for TD3 2020-05-08 15:00:34 +02:00
Antonin RAFFIN
d542732c8d Rename to stable-baselines3 2020-05-05 15:02:35 +02:00
Renamed from torchy_baselines/td3/policies.py (Browse further)