Comments (3)
vitchyr
commented on June 20, 2024
Yes, this is a known difference. I've been updating the code quite a bit, and that's one of the changes made. I'm not ready to merge the new code into master just yet, but it's in the v0.2 branch that I just pushed. The SAC code has been tested. I'm not merging it into master yet is because I still need to do small things, like updating the documentation.
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quanvuong
commented on June 20, 2024
Hi,
When you mention the SAC code has been tested, do you mean that its performance is the same as the performance of the Tensorflow implementation?
Thanks!
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vitchyr
commented on June 20, 2024
Yes, when tested on ant, walker, hopper, humanoid, and half cheetah. This has now been merged into master.
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Related Issues (20)
- unable to create the conda environment with linux-cpu-env.yml HOT 2
- Issue SMAC algorithm HOT 4
- multi-GPU optimised implementations for running algorithms HOT 1
- Doubt on Q-function loss in AWAC HOT 1
- Question about VAEPolicy in rlkit.torch.sac.policies HOT 2
- CustomMDPPathCollector is not found HOT 2
- Doubt on advantage calculation to update the policy on AWAC.
- Position Control with mujoco-py
- Cannot reproduce the results of IQL on antmaze HOT 1
- High Memory & Disk Requirement for SMAC HOT 1
- Skew-fit gaussian_identity_variance
- AWAC doesn't profit from offline data HOT 4
- IQL: make checkpoints public
- Could someone provide right environment installation procedure? HOT 4
- Python3.5 is not suitable for this project! HOT 1
- Why I could not see result file๏ผ
- SAC log_alpha different from paper HOT 1
- IQL results different with the paper HOT 1
- Reproduce and create figures results in AWAC.
- Download link is expired HOT 2
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