4 Commits

Author	SHA1	Message	Date
Younggyo Seo	799624b202	Bug fix -- MTBench evaluation and missing code (#18) ... This PR includes these changes: - Fixing a bug in MTBench evaluation - Add a missing `critic_cls` in `train.py` (resolving an issue https://github.com/younggyoseo/FastTD3/issues/17) - Updating hyperparameters for MTBench	2025-06-25 09:21:04 -07:00
Younggyo Seo	cef44108d8	Support MTBench (#15) ... This PR incorporates MTBench into the current codebase, as a good demonstration that shows how to use FastTD3 for multi-task setup. - Add support for MTBench along with its wrapper - Add support for per-task reward normalizer useful for multi-task RL, motivated by BRC paper (https://arxiv.org/abs/2505.23150v1)	2025-06-20 21:52:43 -07:00
Younggyo Seo	c156ba93fb	black formatting and update tuned_reward for T1	2025-05-29 08:29:44 +00:00
Younggyo Seo	258bfe67dd	Initial Public Release	2025-05-29 01:49:23 +00:00