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6 Commits

Author SHA1 Message Date
Michal Gregor
c87b9f49bc
Add show_progress option for trainer (#641) 
- A DummyTqdm class added to utils: it replicates the interface used by trainers, but does not show the progress bar;
- Added a show_progress argument to the base trainer: when show_progress == True, dummy_tqdm is used in place of tqdm.
 2022-05-17 23:41:59 +08:00
Jiayi Weng
2a9c9289e5
rename save_fn to save_best_fn to avoid ambiguity (#575) 
This PR also introduces `tianshou.utils.deprecation` for a unified deprecation wrapper.
 2022-03-22 04:29:27 +08:00
Anas BELFADIL
d976a5aa91
Fixed hardcoded reward_treshold (#548) 2022-03-04 10:35:39 +08:00
Chengqi Duan
23fbc3b712
upgrade gym version to >=0.21, fix related CI and update examples/atari (#534) 
Co-authored-by: Jiayi Weng <trinkle23897@gmail.com>
 2022-02-25 07:40:33 +08:00
Jiayi Weng
3d697aa4c6
make unit test faster (#522) 
* test cache expert data in offline training

* faster cql test

* faster tests

* use dummy

* test ray dependency
 2022-02-09 00:24:52 +08:00
Bernard Tan
5c5a3db94e
Implement BCQPolicy and offline_bcq example (#480) 
This PR implements BCQPolicy, which could be used to train an offline agent in the environment of continuous action space. An experimental result 'halfcheetah-expert-v1' is provided, which is a d4rl environment (for Offline Reinforcement Learning).
Example usage is in the examples/offline/offline_bcq.py.
 2021-11-22 22:21:02 +08:00