Comments (2)
感谢大佬
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https://tianshou.readthedocs.io/zh/latest/
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Related Issues (20)
- Should we use torch.compile? HOT 2
- Should we use the new schedule-free optimizer? HOT 1
- Add the non-in-place counterpart of `Batch.to_torch`
- Provide a devcontainer, base GH actions off it
- Some issues regarding configuration parameters HOT 5
- Glad you agree with me on this ^^. I'm not sure whether anywhere in the code the retrieval of the slice with empty values is used. For me it's fine to completely remove it, however, many tests will need to be adjusted, as now many of them rely on this somehow weird retrieval mechanism.
- Revisit `Launcher` for starting multiple experiments HOT 1
- Adjust locations of setting the policy in train/eval mode HOT 1
- Change log is chaotic and partly uninformative HOT 2
- how to run RL using multi-nodes in cluster HOT 2
- Potential confusion about where start timesteps are collected in HL interfaces HOT 4
- Use Altair inside a notebook to display benchmark results
- Does Tianshou truly supports MARL out of the box? HOT 1
- Extend benchmark with mujoco v4 envs
- How can I make action sampling within the range specified by my environment when using onpolicy_trainer? HOT 6
- Document effects of the relations between buffer size, num workers and episode length
- Poetry update the torch versioned from cuda (2.0.1+cu118) to cpu (2.1.1) defaultly on Windows HOT 9
- [question] Why does Tianshou use a replay buffer in on-policy RL algorithms? HOT 1
- ImportError: cannot import name 'Self' from 'typing' (/root/miniconda3/lib/python3.10/typing.py) HOT 1
- ModuleNotFoundError: No module named 'tianshou.highlevel' HOT 2
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