* `to(device)` to `device=device` and `float()` to `dtype=th.float32`
* Update changelog
* Fix type checking
Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
* Running (not working yet) version of recurrent PPO
* Fixes for multi envs
* Save WIP, rework the sampling
* Add Box support
* Fix sample order
* Being cleanup, code is broken (again)
* First working version (no shared lstm)
* Start cleanup
* Try rnn with value function
* Re-enable batch size
* Deactivate vf rnn
* Allow any batch size
* Add support for evaluation
* Add CNN support
* Fix start of sequence
* Allow shared LSTM
* Rename mask to episode_start
* Fix type hint
* Enable LSTM for critic
* Clean code
* Fix for CNN LSTM
* Fix sampling with n_layers > 1
* Add std logger
* Update wording
* Rename and add dict obs support
* Fixes for dict obs support
* Do not run slow tests
* Fix doc
* Update recurrent PPO example
* Update README
* Use Pendulum-v1 for tests
* Fix image env
* Speedup LSTM forward pass (#63)
* added more efficient lstm implementation
* Rename and add comment
Co-authored-by: Antonin Raffin <antonin.raffin@ensta.org>
* Fixes
* Remove OpenAI sampling and improve coverage
* Sync with SB3 PPO
* Pass state shape and allow lstm kwargs
* Update tests
* Add masking for padded sequences
* Update default in perf test
* Remove TODO, mask is now working
* Add helper to remove duplicated code, remove hack for padding
* Enable LSTM critic and raise threshold for cartpole with no vel
* Fix tests
* Update doc and tests
* Doc fix
* Fix for new Sphinx version
* Fix doc note
* Switch to batch first, no more additional swap
* Add comments and mask entropy loss
Co-authored-by: Neville Walo <43504521+Walon1998@users.noreply.github.com>