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    Model-Based Multi-agent Policy Optimization with Dynamic Dependence Modeling

    This paper explores the combination of model-based methods and multi-agent reinforcement learning (MARL) for more efficient coordination among multiple agents. A decentralized model-based MARL method, Policy O...

    Biyang Hu, Chao Yu, Zifan Wu in Parallel and Distributed Computing, Applic… (2022)