Multi-Agent Systems

LACIE: Listener-Aware Finetuning for Calibration in Large Language Models NeurIPS 2024 LEAP: Optimization Hierarchical Federated Learning on Non-IID Data with Coalition Formation Game IJCAI 2024 Learning Discrete-Time Major-Minor Mean Field Games AAAI 2024 Learning Distinguishable Trajectory Representation with Contrastive Loss NeurIPS 2024 Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem NeurIPS 2024 Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms NeurIPS 2024 Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach ICLR 2024 Learning to Cooperate with Humans using Generative Agents NeurIPS 2024 Let’s Negotiate! A Survey of Negotiation Dialogue Systems EACL 2024 LM2: A Simple Society of Language Models Solves Complex Reasoning EMNLP 2024 Local and Adaptive Mirror Descents in Extensive-Form Games NeurIPS 2024 Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments NeurIPS 2024 MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems NeurIPS 2024 MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution NeurIPS 2024 Manipulation-Robust Selection of Citizens’ Assemblies AAAI 2024 Maximizing Nash Social Welfare under Two-Sided Preferences AAAI 2024 Maximizing utility in multi-agent environments by anticipating the behavior of other learners NeurIPS 2024 Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL) JMLR 2024 Measuring Bargaining Abilities of LLMs: A Benchmark and A Buyer-Enhancement Method ACL 2024 Measuring Mutual Policy Divergence for Multi-Agent Sequential Exploration NeurIPS 2024 Mechanism design augmented with output advice NeurIPS 2024 MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization AISTATS 2024 Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent IJCAI 2024 Multi-Agent Bandit Learning through Heterogeneous Action Erasure Channels AISTATS 2024 Multi-Agent Imitation Learning: Value is Easy, Regret is Hard NeurIPS 2024