most citedUpside-Down Reinforcement Learning Can Diverge in Stochastic Environments With Episodic Resets

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Understanding Action Effects through Instrumental Empowerment in Multi-Agent Reinforcement Learning

Ardian Selmonaj, Miroslav Strupl, Oleg Szehr +1

To reliably deploy Multi-Agent Reinforcement Learning (MARL) systems, it is crucial to understand individual agent behaviors. While prior work typically evaluates overall team perf…