/SeCA

Codes of SeCA accompanying the paper "Sequential Cooperative Multi-Agent Reinforcement Learning"(AAMAS 2023). SeCA is a sequential credit assignment method that factorizes and simplifies the complex interaction analysis of multi-agent systems into a sequential evaluation process for more efficient learning.

Primary LanguagePythonMIT LicenseMIT

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