Macro-Action-Based Deep Multi-Agent Reinforcement Learning

18 Apr 2020Yuchen XiaoJoshua HoffmanChristopher Amato

In real-world multi-robot systems, performing high-quality, collaborative behaviors requires robots to asynchronously reason about high-level action selection at varying time durations. Macro-Action Decentralized Partially Observable Markov Decision Processes (MacDec-POMDPs) provide a general framework for asynchronous decision making under uncertainty in fully cooperative multi-agent tasks... (read more)

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