You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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!
The text was updated successfully, but these errors were encountered:
yuanmingqi
changed the title
Updates: Support the latest Atari environment.
Updates: Support the latest Atari environment and state entropy maximization-based exploration.
May 29, 2022
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!
The text was updated successfully, but these errors were encountered: