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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 constructing a long-term plan and reinforcement learning for resolving local conflicts.

aaai-2024 grid lifelong mapf pathfinding pogema reinforcement-learning

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Learn to Follow

The main codebase for Learn to Follow is hosted at Cognitive-AI-Systems/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 constructing a long-term plan and reinforcement learning for resolving local conflicts.

aaai-2024 grid lifelong mapf pathfinding pogema reinforcement-learning

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6 stars

2 watching

Report repository

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