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Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)

Python 100.00%

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revisiting_marl's Issues

How to run the AR algorithm without Multi-step optimization in your code

Hello,
Thanks for the code base and indeed a really good work!
I was trying to replicate the results from the paper and started with bridge environment with PG-AR，PG-AR w.o. MO and PG-AR w.o.RO.
However, I don't know how to change some setting to train PG-AR w.o. MO. As for PG-AR w.o. RO, I can set "random_order" False to train, how about PG-AR w.o. MO?

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