Papers
Multi-Agent Corridor Reasoning for Multi-Agent Path Finding
Yiran Ni, Deshi Ye
Adaptive Theory of Mind for LLM-based Multi-Agent Coordination
Chunjiang Mu, Ya Zeng, Qiaosheng Zhang et al.
Regular Games -- an Automata-Based General Game Playing Language
Radosław Miernik, Marek Szykuła, Jakub Kowalski et al.
StyleTailor: Towards Personalized Fashion Styling via Hierarchical Negative Feedback
Hongbo Ma, Fei Shen, Hongbin Xu et al.
Think, Speak, Decide: Language-Augmented Multi-Agent Reinforcement Learning for Economic Decision-Making
Heyang Ma, Qirui Mi, Qipeng Yang et al.
SEVADE: Self-Evolving Multi-Agent Analysis with Decoupled Evaluation for Hallucination-Resistant Sarcasm Detection
Ziqi Liu, Ziyang Zhou, Yilin Li et al.
HCPO: Hierarchical Conductor-Based Policy Optimization in Multi-Agent Reinforcement Learning
Zejiao Liu, Junqi Tu, Yitian Hong et al.
Safe Multi-Agent Reinforcement Learning via Distributional Safety Critic and Maximum Entropy Optimization
Qiwei Liu, Ye Yuan, Lingyue Zhang et al.
IPDA:Intelligent Perception Delay Alignment Method Based on Spatio-Temporal Co-Sensing Calibration
Jianhang Liu, Dianzheng Zhang, Hongxin Pan et al.
Achieving Equilibrium Under Utility Heterogeneity: An Agent-Attention Framework for Multi-Agent Multi-Objective Reinforcement Learning
Zhuhui Li, Chunbo Luo, Liming Huang et al.
DRAFT-RL: Multi-Agent Chain-of-Draft Reasoning for Reinforcement Learning-Enhanced LLMs
Yuanhao Li, Mingshan Liu, Hongbo Wang et al.
Learning to Cooperate with Minimal Observability
Chin-wing Leung, Paolo Turrini, Fernando P. Santos et al.
Robust Multiagent Combinatorial Path Finding
Yehonatan Kidushim, Avraham Natan, Roni Stern et al.
Graph Attention-Guided Search for Dense Multi-Agent Pathfinding
Rishabh Jain, Keisuke Okumura, Michael Amir et al.
GRIP: Latent Field-Guided Graph Policy for Budget-Constrained Multi-Agent Routing
Yujiao Hu, Zuyu Chen, MengJie Lee et al.
Unreal-MAP: Unreal-Engine-Based General Platform for Multi-agent Reinforcement Learning
Tianyi Hu, Qingxu Fu, Zhiqiang Pu et al.
Tapas Are Free! Training-Free Adaptation of Programmatic Agents via LLM-Guided Program Synthesis in Dynamic Environments
Jinwei Hu, Yi Dong, Youcheng Sun et al.
Orion: Steering Personalized Web Agents via Global-Micro Profiling and Adaptive Intent Tracking
Die Hu, Jingguo Ge, Weitao Tang et al.
Agent-SAMA: State-Aware Mobile Assistant
Linqiang Guo, Wei Liu, Yi Wen Heng et al.
Emergent Fast-Slow Dynamics in Multi-Agent Q-Learning for Networked Stochastic Games
Yuxin Geng, Wolfram Barfuss, Xingru Chen
GRDC: A Unified Graph-Driven Framework for Role Discovery and Communication in Multi-Agent Reinforcement Learning
Zihong Gao, Hongjian Liang, Yuanhui Hao et al.
Counterfactual Planning for Generalizable Agents’ Actions
Jiarun Fu, Lizhong Ding, Qiuning Wei et al.
Symbolic Planning and Multi-Agent Path Finding in Extremely Dense Environments with Unassigned Agents
Bo Fu, Zhe Chen, Rahul Chandan et al.
Cost-Effective Communication: An Auction-based Method for Language Agent Interaction
Yijia Fan, Jusheng Zhang, Kaitong Cai et al.
iMAD: Intelligent Multi-Agent Debate for Efficient and Accurate LLM Inference
Wei Fan, JinYi Yoon, Bo Ji