Updates: Support the latest Atari environments and state entropy maximization-based exploration #298
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yuanmingqi
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yuanmingqi
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Update for supporting the latest Atari environment
Tested using the following dependences:
stable-baselines3==1.5.0
gym==0.21.0
ale-py==0.7.4
Update for supporting state entropy maximization-based exploration
Intrinsic rewards can improve the exploration when handling complex environments with high-dimensional observations. Thus I added the following module entitled "State entropy maximization with random encoders for efficient exploration (RE3)". Since RE3 requires no auxiliary models, it won't decrease the computational efficiency. Use --use--sem to invoke it!