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cs.RO2024
Social Behavior as a Key to Learning-based Multi-Agent Pathfinding Dilemmas
Chengyang He, Tanishq Duhan, Parth Tulsyan +2
The Multi-agent Path Finding (MAPF) problem involves finding collision-free paths for a team of agents in a known, static environment, with important applications in warehouse auto…
cs.LG2024
Hybrid Training for Enhanced Multi-task Generalization in Multi-agent Reinforcement Learning
Mingliang Zhang, Sichang Su, Chengyang He +1
In multi-agent reinforcement learning (MARL), achieving multi-task generalization to diverse agents and objectives presents significant challenges. Existing online MARL algorithms…