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hijkzzz / pymarl2

Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
https://iclr-blogposts.github.io/2023/blog/2023/riit/
Apache License 2.0
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Set trained model as opponent? #29

Closed linshi9658 closed 1 year ago

linshi9658 commented 1 year ago

Hello,

Based on the state-of-the-art algorithm, the reality is that the winning rate is close to 1 in many maps. Is the author interested in further expanding the function of pymarl2 to realize the battle between two models obtained by different algorithms? I think this can break through the upper limit of the difficulty of SC2's built-in computer, so as to keep SMAC alive forever.

hijkzzz commented 1 year ago

Sounds interesting, I will try to add these features later when I have time~