Decentralized multi-agent reinforcement learning based on best-response policies
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Introduction: Multi-agent systems are an interdisciplinary research field that describes the concept of multiple decisive individuals interacting with a usually partially observable environment. Given the recent advances in single-agent reinforcement learning,... ...
