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- ArticleAugust 2022
Multi-agent Pathfinding with Communication Reinforcement Learning and Deadlock Detection
AbstractThe learning-based approach has been proved to be an effective way to solve multi-agent path finding (MAPF) problems. For large warehouse systems, the distributed strategy based on learning method can effectively improve efficiency and ...
- research-articleJune 2021
A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications
Artificial Intelligence Review (ARTR), Volume 54, Issue 5Pages 3215–3238https://doi.org/10.1007/s10462-020-09938-yAbstractDeep reinforcement learning has proved to be a fruitful method in various tasks in the field of artificial intelligence during the last several years. Recent works have focused on deep reinforcement learning beyond single-agent scenarios, with ...