Papers
From Text to Simulation: A Multi-Agent LLM Workflow for Automated Chemical Process Design
Xufei Tian, Wenli Du, Shaoyi Yang et al.
MACoT: Synthesizing Chains of Thought for Small Models via Multi-Agent Collaboration
Guokai Tang, Feng Zhao
BTPG-max: Achieving Local Maximal Bidirectional Pairs for Bidirectional Temporal Plan Graphs
Yifan Su, Rishi Veerapaneni, Jiaoyang Li
Concept-RuleNet: Grounded Multi-Agent Neurosymbolic Reasoning in Vision Language Models
Sanchit Sinha, Guangzhi Xiong, Zhenghao He et al.
A Graph-Theoretical Perspective on Law Design for Multiagent Systems
Qi Shi, Pavel Naumov
Towards Effective Offensive Security LLM Agents: Hyperparameter Tuning, LLM as a Judge, and a Lightweight CTF Benchmark
Minghao Shao, Nanda Rani, Kimberly Milner et al.
CAMAR: Continuous Actions Multi-Agent Routing
Artem Pshenitsyn, Aleksandr Panov, Alexey Skrynnik
Spatially Grouped Curriculum Learning for Multi-Agent Path Finding
Thomy Phan, Sven Koenig
Truncated Counterfactual Learning for Anytime Multi-Agent Path Finding
Thomy Phan, Shao-Hung Chan, Sven Koenig
Equilibrium-Driven Vertical Federated Learning with Selective Privacy Protection
Yuanzhe Peng, Wenwei Zhao, Zhuo Lu et al.
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.