* Use lower-level API to reduce overhead.
* Further improvements.
* Buffer _add_to_buffer improvement.
* Do not use _data field to store Batch data to avoid overhead. Add back _meta field in Buffer.
* Restore metadata attribute to store batch in Buffer.
* Move out nested methods.
* Update try/catch instead of actual check to efficiency.
* Remove unsed branches for efficiency.
* Use np.array over list when possible for efficiency.
* Final performance improvement.
* Add unit tests for Batch size method.
* Add missing stack unit tests.
* Enforce Buffer initialization to zero.
Co-authored-by: Alexis Duburcq <alexis.duburcq@wandercraft.eu>
* Fix support of batch over batch for Buffer.
* Do not use internal __dict__ attribute to store batch data since it breaks inheritance.
* Various fixes.
* Improve robustness of Batch/Buffer by avoiding direct attribute assignment. Buffer refactoring.
* Add axis optional argument to Batch stack method.
* Add item assignment to Batch class.
* Fix list support for Buffer.
* Convert list to np.array by default for efficiency.
* Add missing unit test for Batch. Fix unit tests.
* Batch item assignment is now robust to key order.
* Do not use getattr/setattr explicity for simplicity.
* More flexible __setitem__.
* Fixes
* Remove broacasting at Batch level since it is unreliable.
* Forbid item assignement for inconsistent batches.
* Implement broadcasting at Buffer level.
* Add more unit test for Batch item assignment.
Co-authored-by: Alexis Duburcq <alexis.duburcq@wandercraft.eu>
* Fix support of 0-dim numpy array.
* Do not raise exception if Batch index does not make sense since it breaks existing code.
Co-authored-by: Alexis Duburcq <alexis.duburcq@wandercraft.eu>
* Enable to stack Batch instances. Add Batch cat static method. Rename cat in cat_ since inplace.
* Properly handle Batch init using np.array of dict.
* WIP
* Get rid of metadata.
* Update UT. Replace cat by cat_ everywhere.
* Do not sort Batch keys anymore for efficiency. Add items method.
* Fix cat copy issue.
* Add unit test to chack cat and stack methods.
* Remove used import.
* Fix linter issues.
* Fix unit tests.
Co-authored-by: Alexis Duburcq <alexis.duburcq@wandercraft.eu>
* Add auto alpha tuning and exploration noise for sac.
Add class BaseNoise and GaussianNoise for the concept of exploration noise.
Add new test for sac tested in MountainCarContinuous-v0,
which should benefits from the two above new feature.
* add exploration noise to collector, fix example to adapt modification
Add class BaseNoise and GaussianNoise for the concept of exploration noise.
Add new test for sac tested in MountainCarContinuous-v0,
which should benefits from the two above new feature.
* Enable getattr for SubprovVecEnv.
* Consistent API between VectorEnv and SubprocVecEnv.
* Avoid code duplication. Add unit tests.
* Add docstring.
* Test more branches.
* Fix UT.
Co-authored-by: Alexis Duburcq <alexis.duburcq@wandercraft.eu>
* Fix Batch to_torch method not updating dtype/device of already converted data.
* Fix dtype/device to forwarded by to_tensor for Batch over Batch.
* Add Unit test to check to_torch dtype/device recursive forwarding.
* Batch UT check accessing data using both dict and class style.
* Fix utils to_tensor dtype/device forwarding. Add Unit tests.
* Fix UT.
Co-authored-by: Alexis Duburcq <alexis.duburcq@wandercraft.eu>
Co-authored-by: n+e <463003665@qq.com>
* Enable to convert Batch data back to torch.
* Add torch converter to collector.
* Fix
* Move to_numpy/to_torch convert in dedicated utils.py.
* Use to_numpy/to_torch to convert arrays.
* fix lint
* fix
* Add unit test to check Batch from/to numpy.
* Fix Batch over Batch.
Co-authored-by: Alexis Duburcq <alexis.duburcq@wandercraft.eu>
* add sum_tree.py
* add prioritized replay buffer
* del sum_tree.py
* fix some format issues
* fix weight_update bug
* simply replace replaybuffer in test_dqn without weight update
* weight default set to 1
* fix sampling bug when buffer is not full
* rename parameter
* fix formula error, add accuracy check
* add PrioritizedDQN test
* add test_pdqn.py
* add update_weight() doc
* add ref of prio dqn in readme.md and index.rst
* restore test_dqn.py, fix args of test_pdqn.py
