{"type":"ScholarlyArticle","title":"RoLocMe: A Robust Multi-agent Source Localization System with Learning-based Map Estimation","authors":[{"name":"Thanh Dat Le","slug":"thanh-dat-le","given":"Thanh Dat","family":"Le","affiliation":""},{"name":"Lyuzhou Ye","slug":"lyuzhou-ye","given":"Lyuzhou","family":"Ye","affiliation":""},{"name":"Yan Huang","slug":"yan-huang","given":"Yan","family":"Huang","affiliation":""}],"abstract":"This paper addresses the source localization problem by introducing RoLocMe, a multi-agent reinforcement learning system that integrates SkipNet - a skip-connection-based RSS estimation model - with parallel Q-learning. SkipNet predicts RSS propagation of the entire search region, enabling agents to explore efficiently. The agents leverage dueling DQN, value decomposition, and λ-returns to learn cooperative policies. RoLocMe converges faster and achieves at least 20% higher success rates than existing methods in dense and sparse reward settings. A drop-one ablation study confirms each component’s importance and RoLocMe’s effectiveness for larger teams.","doi":"10.24963/ijcai.2025/18","url":"https://ijcai.org/proceedings/2025/18","pdf":"https://ijcai.org/proceedings/2025/0018.pdf","markdown":"https://ijcai.org/proceedings/2025/18.md","bibtex":"https://ijcai.org/proceedings/2025/bibtex/18","volume":{"slug":"2025","title":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2025","url":"https://ijcai.org/proceedings/2025/","year":2025,"location":"Montreal, Canada","dates":"16-22 August 2025","editors":"James Kwok","isbn":"978-1-956792-06-5","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2025"},"section":"Agent-based and Multi-agent Systems","track":"Main Track","number":18,"pages":{"first":152,"last":160},"keywords":["Agent-based and Multi-agent Systems: MAS: Applications","Machine Learning: ML: Multiagent Reinforcement Learning","Agent-based and Multi-agent Systems: MAS: Multi-agent planning","Planning and Scheduling: PS: Distributed and multi-agent planning"],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}