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Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

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Hi, you have commented that SoftMultiCategoricalPd: doesnt't work yet. File: maddpg/common/distributions.py Line: 272 Can you tell me have you fixed it or working on it? And also can you please...

Dear Author, I am replicating your results recently, and a little confused about Figure 3 in the paper, how the data, specifically the in the table of Appendix (e.g. success...

how to load .pkl file to evaluate maddpg? Have a function or related code? thanks

I run the environment simple_spread_listener with the code and it does not converged. I haven't changed any code.

Hi team, Would you please help me clarify this Is "local_q_func" = true for training DDPG? Just with this parameter?

I read the paper of MADDPG but I can't find the implementaion of policy approximation and policy ensambles mentioned in the paper. Could anyone help me find out the codes...

I have train it success but how to run? How to see the visible answer? ![image](https://user-images.githubusercontent.com/43838913/88476394-91557000-cf6a-11ea-8cc1-ab8c76c0acf6.png)

how to load .pkl file to evaluate maddpg? Have a function or related code? thanks

If one tries to set "--exp-name" by default, an error may occur in ``train.py(line 182)`` indicating that there is a TypeError. This may have resulted from the parse_args function's setting...