Multiagent Path Finding Using Deep Reinforcement Learning Coupled With Hot Supervision Contrastive Loss
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2022.3206745
Abstract: Multiagent path finding (MAPF) is employed to find collision-free paths to guide agents traveling from an initial to a target position. The advanced decentralized approach utilizes communication between agents to improve their performance in environments… read more here.
Keywords: reinforcement learning; path finding; contrastive loss; multiagent path ... See more keywords
Acceptance–Rejection Sampling-Guided Discrete RRT for Multiagent Path Finding
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2025.3609137
Abstract: Discrete rapid-exploring random tree (dRRT) methods have been proposed but remain to be improved, showing great potential for efficiently solving multiagent path finding (MAPF) problems. This article proposes a new dRRT algorithm designed to tackle… read more here.
Keywords: path finding; multiagent path; acceptance rejection; rejection sampling ... See more keywords