CoPO
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[NeurIPS 2021] Official implementation of paper "Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization".
Hello, I am very impressed with the CoPO project. Thank you for sharing a great paper and code. I wanted to see the trained multi-agent, so I visualized it using...
Hello, I am very interested in the CoPO project! But at the moment I have some problems, I hope you can clear my confusion, thanks! 1. The following error is...
Hello, your code is implemented with *ray* and *tf*. Can you please provide a copy with *pytorch*? Thanks.
Thanks for your code and contribution! It's so great! Then, I have some questions about visualization and local mode. First, is it possible to visualize the training process? Although it...
Hello, I reproduced your code, in addition to the five scenarios in the paper, there is also a PGMap scenario, in terms of success rate, PGMapde success rate is very...
I have installed the gym==0.19.0 and there is a error about the conflict between the copo==0.0.0 and ray[rllib]==2.2.0. The error just is like this: " The conflict is caused by:...
If anyone else is facing this same issue. I tried reinstalling the metadrive to the latest version but the latest one requires some dependencies incompatible with older python version. ```...
The conflict is caused by: copo 0.0.0 depends on gym==0.19.0 ray[rllib] 2.2.0 depends on gym=0.21.0; extra == "rllib"
Hi!@pengzhenghao Could you explain how you specifically implemented Curriculum Learning in your paper? Thanks!
Dear Sir/Miss, I hope this email finds you well. I am Xia, I have been working with your code, particularly train_all_cl.py and train_all_ippo.py, and encountered an issue while running these...