OMSD uses diffusion models to estimate per-agent conditional score functions of the joint behavior policy, replacing the standard product-factorization assumption and improving offline cooperative MARL performance on multimodal datasets.
The complexity of decentralized control of markov decision processes
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Offline Multi-agent Reinforcement Learning via Sequential Score Decomposition
OMSD uses diffusion models to estimate per-agent conditional score functions of the joint behavior policy, replacing the standard product-factorization assumption and improving offline cooperative MARL performance on multimodal datasets.