Finite-Sample Analysis for Decentralized Batch Multiagent Reinforcement Learning With Networked Agents
Finite-Sample Analysis for Decentralized Batch Multiagent Reinforcement Learning With Networked Agents
Despite the increasing interest in multi-agent reinforcement learning (MARL) in multiple communities, understanding its theoretical foundation has long been recognized as a challenging problem.In this work, we address this problem by providing a finite-sample analysis for decentralized batch MARL with networked agents.Specifically, we consider two decentralized MARL settings, where teams …