Towards Streamlined Learning and Search for Multi-Agent Optimization
Focusing on multi-agent path finding as an exemplary problem, this paper proposes to simplify two popular approaches to MAPF, namely multi-agent reinforcement learning and adaptive search, to enable seamless combination and transferability of methods without substantial engineering effort.
Thomy Phan
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