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DDDOH / SeCBAD

Code for the paper "An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context".
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About Environments #2

Open yingchengyang opened 1 year ago

yingchengyang commented 1 year ago

Thanks for providing such wonderful work and codes. In the paper, it seems that all algorithms are evaluated at Ant Direction, Ant Velocity, Cheetah Direction, Cheetah Velocity, and Cheetah Goal. But it seems that the code only provides Ant-dir, how can I get other environments? Thanks a lot!

DDDOH commented 1 year ago

Thank you for your interest. The code is currently incomplete. Google Drive has a more complete version of the code that contains those environments, but I am not sure if you can run the code directly. We are really busy with something else, so we have not yet made a cleaned up version. Let me know if you have any difficulty.

yingchengyang commented 1 year ago

Thanks a lot! I have downloaded the complete version of the code.

prinshul commented 1 year ago

Hi @DDDOH Can you please update the readme to correctly execute all experiments mentioned in the paper.

DDDOH commented 1 year ago

Hi, I apologize for the inconvenience, but I'm currently swamped with other commitments. Could you please try running the code from this Google Drive folder on your own? If you encounter any errors or issues, please let me know, and I'll do my best to assist you. My earliest availability for making major updates will be this weekend.

prinshul commented 1 year ago

Hi, I apologize for the inconvenience, but I'm currently swamped with other commitments. Could you please try running the code from this Google Drive folder on your own? If you encounter any errors or issues, please let me know, and I'll do my best to assist you. My earliest availability for making major updates will be this weekend.

Sure. I will try that out and will let you know if I face any problems. Thanks.