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@@ -4,7 +4,8 @@ Thanks to the author of gym-2048 https://github.com/rgal/gym-2048. The code is e
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## Performance of environment
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I used random policy to evaluate the performance for 1000 times. We can take random policy as a baseline.
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I used random policy to evaluate the performance for 1000 times. We can take random policy as a baseline.
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The eval main function is in base_agent.py.
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### (1) with render:
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average episode time:0.10279795455932617 s;

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