An RL codebase in JAX which focuses on efficiency and simplicity. Each baseline algorithm is self-contained in the corresponding folder.
- PPO
- DDPG
- DQN
- SAC
- TD3
- COMBO
- CQL
- IQL
- TD3BC
- AWAC
- Off2OnRL
- PEX
- HypeRL
- MAML
- MQL
- PEARL
- RND
A collection of RL baselines in Jax.
An RL codebase in JAX which focuses on efficiency and simplicity. Each baseline algorithm is self-contained in the corresponding folder.
Hi,
Thanks for your great repo.
I try to run the code of TD3 on halfcheetah-v2 and I find the return is not very stable and below the result that you report.
More specially, I try to train the model with 1e6 steps (not 3e6 in the config file) and the return is about 9500.
So I wonder whether I need to tune the hyper-parameters.
Thank you very much. & Thanks for your contribution again.
Hi
I try to run the code of td3bc on antmaze-medium-play-v0 and I find the performance (is 0) is lower than the results in iql paper (10.6). May I ask the experimental setting about that?
Thank you very much!
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