Parameters of MAPPO in different scenarios

[ZhuohuiZhang]

It's a really nice work on benchmarking multi-agent RL algorithms. When I was running the code, I had some confusion about the parameters of the onpolicy algorithm. Especially when using MAPPO algorithm, the winning rate is always 0 during training 2s_vs_1sc and 5m_vs_6m. I tried to use mappo.yaml in the source code and the relevant parameters given in the paper, but there was no effect. Could you please provide the parameters for training the MAPPO algorithm for the two scenarios of 2s_vs_1sc and 5m_vs_6m. Thank you .