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
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humanoid_bench_env.py	Initial Public Release	2025-05-29 01:49:23 +00:00
isaaclab_env.py	Initial Public Release	2025-05-29 01:49:23 +00:00
mtbench_env.py	Support MTBench (#15)	2025-06-20 21:52:43 -07:00
mujoco_playground_env.py	black formatting and update tuned_reward for T1	2025-05-29 08:29:44 +00:00