Comments (1)
qgallouedec
commented on June 20, 2024
Indeed, there isn't benchmark for dense reward. However, you can easily make one using rl-baselines3-zoo
After installing, run
python train.py --env PandaReach-v1 --algo tqc --env-kwargs reward_type:"'dense'"Note
The current version of rl-zoo only support panda-gym v1 (with is not very different from v2). If you really want to use the v2, please use this branch or wait for this PR to be merged.
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