most citedCounterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning

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cs.MA2023

Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning

Zifan Wu, Chao Yu, Chen Chen +2

Research in model-based reinforcement learning has made significant progress in recent years. Compared to single-agent settings, the exponential dimension growth of the joint state…