FACMAC: Factored Multi-Agent Centralised Policy Gradients Bei Peng University of Liverpool T abish Rashid University of Oxford Christian A. Schroeder de Witt
–Neural Information Processing Systems
However, unlike QMIX, there are no inherent constraints on factoring the critic. We thus also employ a nonmonotonic factorisation and empirically demonstrate that its increased representational capacity allows it to solve some tasks that cannot be solved with monolithic, or monotonically factored critics.
Neural Information Processing Systems
Aug-14-2025, 21:39:32 GMT
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