4 Commits

Author	SHA1	Message	Date
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