Model-based Multi-Agent Reinforcement Learning with Cooperative Prioritized Sweeping

15 Jan 2020Eugenio BargiacchiTimothy VerstraetenDiederik M. RoijersAnn Nowé

We present a new model-based reinforcement learning algorithm, Cooperative Prioritized Sweeping, for efficient learning in multi-agent Markov decision processes. The algorithm allows for sample-efficient learning on large problems by exploiting a factorization to approximate the value function... (read more)

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