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License: Apache License 2.0
Code for "SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning" AAAI 2020
License: Apache License 2.0
Hi, in your paper, I fund there is a winrate metric to evaluate the performance of algorithms. How can I manually calculate the value in StarCraft environment?
Dear chaovven, In https://github.com/chaovven/SMIX/blob/master/src/controllers/basic_controller.py#L75, I found there is only one controller defined here, for homogenous envs, I think it is ok to do so, it is homogenous agents and agents can learn one agent
, however, for heterogeneous envs for example 3s5z_vs_3s6z
, I think it is not ok to do so since there are s
s and z
s in each group, right? So, I think there should be defined new agent
for each type agent.
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