{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,24]],"date-time":"2025-09-24T00:14:57Z","timestamp":1758672897543,"version":"3.44.0"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:p>Continual Multi-Agent Reinforcement Learning (Co-MARL) requires agents to address catastrophic forgetting issues while learning new coordination policies with the dynamics team. In this paper, we delve into the core of Co-MARL, namely Relation Patterns, which refer to agents\u2019 general understanding of interactions. In addition to generality, relation patterns exhibit task-specificity when mapped to different action spaces. To this end, we propose a novel method called General Relation Patterns-Guided Task-specific Decision-Maker (RPG). In RPG, agents extract relation patterns from dynamic observation spaces using a relation capturer. These task-agnostic relation patterns are then mapped to different action spaces via a task-specific decision-maker generated by a conditional hypernetwork. To combat forgetting, we further introduce regularization items on both the relation capturer and the conditional hypernetwork. Results on SMAC and LBF demonstrate that RPG effectively prevents catastrophic forgetting when learning new tasks and achieves zero-shot generalization to unseen tasks.<\/jats:p>","DOI":"10.24963\/ijcai.2025\/759","type":"proceedings-article","created":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T08:10:40Z","timestamp":1758269440000},"page":"6821-6829","source":"Crossref","is-referenced-by-count":0,"title":["From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination"],"prefix":"10.24963","author":[{"given":"Chang","family":"Yao","sequence":"first","affiliation":[{"name":"School of Computer Science & Technology, Beijing Jiaotong University"},{"name":"Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Youfang","family":"Lin","sequence":"additional","affiliation":[{"name":"School of Computer Science & Technology, Beijing Jiaotong University"},{"name":"Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shoucheng","family":"Song","sequence":"additional","affiliation":[{"name":"School of Computer Science & Technology, Beijing Jiaotong University"},{"name":"Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Computer Science & Technology, Beijing Jiaotong University"},{"name":"Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuqing","family":"Ma","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence, Beihang University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sheng","family":"Han","sequence":"additional","affiliation":[{"name":"School of Computer Science & Technology, Beijing Jiaotong University"},{"name":"Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kai","family":"Lv","sequence":"additional","affiliation":[{"name":"School of Computer Science & Technology, Beijing Jiaotong University"},{"name":"Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"number":"34","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2025","name":"Thirty-Fourth International Joint Conference on Artificial Intelligence {IJCAI-25}","start":{"date-parts":[[2025,8,16]]},"theme":"Artificial Intelligence","location":"Montreal, Canada","end":{"date-parts":[[2025,8,22]]}},"container-title":["Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T11:35:04Z","timestamp":1758627304000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2025\/759"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2025,9]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2025\/759","relation":{},"subject":[],"published":{"date-parts":[[2025,9]]}}}