Comments (5)
Don't want you to be burden with updating conda yml when requirements needs updating, so just created minimal conda env file and instructions to modify requirements.txt for conda. PR submitted.
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Hi @fuzzthink
Please try https://github.com/mokemokechicken/reversi-alpha-zero#note-mac-pyenv-environment
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Ah, didn't see that. Foundout how to run Framework in conda, submitted PR for the extra info.
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FYI, I made yml file for conda install too. Let me know if you want a PR for that.
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I don't know conda very much, but if that yml file is convenient for conda environment, your PR is appreciated!
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Related Issues (20)
- About the optimizer? HOT 5
- invalid correct moves HOT 2
- GPU ResourceExhaustedError after many times of Keras model.load() during self-play HOT 1
- What's different between Challenge 2 & 3? HOT 2
- The sign of virtual loss is reversed
- The history dates of Challenge 3/4 are wrong. HOT 1
- It may forget pertinent information about positions that it no longer visits. HOT 21
- automatically ntest HOT 2
- Performance Reports HOT 23
- Unofficial AlphaGoZero implementation from Googlers HOT 15
- how much does share_mtcs_info_in_self_play contribute in strength? HOT 7
- Child seeds being identical to the parent seed may nullify the effect of multi-processing/threading HOT 3
- a question about reloading model HOT 2
- AlphaZero Approach HOT 2
- Replacing CNN with decoder-only Transformer for possible acceleration? HOT 3
- maybe a bug here HOT 1
- About using different players for training game generation HOT 6
- Cannot use multiple GPUs in self-play HOT 3
- tensorflow.python.framework.errors_impl.InvalidArgumentError: Tensor input_1:0, specified in either feed_devices or fetch_devices was not found in the Graph HOT 1
- Gobang version
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