3 Commits

Author SHA1 Message Date
ChenDRAG
7036073649
Trainer refactor : some definition change ()
This PR focus on some definition change of trainer to make it more friendly to use and be consistent with typical usage in research papers, typically change `collect-per-step` to `step-per-collect`, add `update-per-step` / `episode-per-collect` accordingly, and modify the documentation.
2021-02-21 13:06:02 +08:00
ChenDRAG
150d0ec51b
Step collector implementation ()
This is the third PR of 6 commits mentioned in , which features refactor of Collector to fix . You can check  for more detail.

Things changed in this PR:

1. refactor collector to be more cleaner, split AsyncCollector to support asyncvenv;
2. change buffer.add api to add(batch, bffer_ids); add several types of buffer (VectorReplayBuffer, PrioritizedVectorReplayBuffer, etc.)
3. add policy.exploration_noise(act, batch) -> act
4. small change in BasePolicy.compute_*_returns
5. move reward_metric from collector to trainer
6. fix np.asanyarray issue (different version's numpy will result in different output)
7. flake8 maxlength=88
8. polish docs and fix test

Co-authored-by: n+e <trinkle23897@gmail.com>
2021-02-19 10:33:49 +08:00
Jialu Zhu
a511cb4779
Add offline trainer and discrete BCQ algorithm ()
The result needs to be tuned after `done` issue fixed.

Co-authored-by: n+e <trinkle23897@gmail.com>
2021-01-20 18:13:04 +08:00