Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems

27 Jan 2020Seyed Mohammad AsghariYi OuyangAshutosh Nayyar

Regret analysis is challenging in Multi-Agent Reinforcement Learning (MARL) primarily due to the dynamical environments and the decentralized information among agents. We attempt to solve this challenge in the context of decentralized learning in multi-agent linear-quadratic (LQ) dynamical systems... (read more)

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