Comments (1)
Hello! Regarding the support on the Go environment, we have been working on this PR (https://github.com/opendilab/LightZero/pull/65/files) for a while. This PR includes the initial implementation of the regular self-play version of AlphaZero for chess games like Go/Gomoku and a league training version. Although the performance did not meet expectations previously due to limitations in computational resources, we plan to further optimize this PR in the coming weeks. We welcome your discussion and contributions and look forward to your participation and feedback!
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Related Issues (20)
- Error with Convolutional Input in Example Environments (game_2048) HOT 2
- How to use efficient zero for board games HOT 5
- connect 4 setup bugs HOT 1
- Inconsistency Between Episode Counts in MuZero HOT 1
- LightZero on HPC and other questions HOT 3
- About Replicating SampledZero Performance in the Hopper-V3 Environment HOT 2
- Multi GPU EfficientZero import failure "No module named ding" HOT 1
- Multi-GPU issue
- The multi-GPU issue HOT 1
- the sampled efficient zero portion of the code HOT 2
- Custom environment HOT 1
- Does LightZero currently support compilation on Windows? HOT 2
- Replicating multi-GPU EfficientZero Atari results HOT 1
- how to well model a grid env when it changes frequently? HOT 8
- Minigrid environment HOT 1
- Great!!! HOT 1
- Running a trained agent HOT 2
- Hyperparameter of Muzero and reproducibility of the results HOT 2
- Render and plot results: is there a code snippet?
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