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when-to-switch

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"When to Switch" Implementation: Addressing the PO-MAPF challenge with RePlan & EPOM policies. This repo includes search-based re-planning, reinforcement learning techniques, and three mixed policies...

sssp

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Quick Multi-Robot Motion Planning by Combining Sampling and Search (IJCAI-23)

learn-to-follow

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[AAAI-2024] Follower: This study addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed Follower approach utilizes a combination of a planning algorithm for...

mats-lp

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[AAAI-2024] MATS-LP addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed approach utilizes a combination of Monte Carlo Tree Search and reinforcement learn...

eph-mapf

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[IROS 2024] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding