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Multi-Agent Systems

788 directly classified papers

Papers per year

Papers

No-Regret Learning for Fair Multi-Agent Social Welfare Optimization NIPS 2024
Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty NIPS 2024
Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games ACL 2024
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks EMNLP 2024
Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent IJCAI 2024
LEAP: Optimization Hierarchical Federated Learning on Non-IID Data with Coalition Formation Game IJCAI 2024
Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning NIPS 2024
Individual Rationality in Topological Distance Games Is Surprisingly Hard IJCAI 2024
From Skepticism to Acceptance: Simulating the Attitude Dynamics Toward Fake News IJCAI 2024
Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents ACL 2024
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks? EMNLP 2024
Multi-Agent Learning in Contextual Games under Unknown Constraints AISTATS 2024
Learning to Cooperate with Humans using Generative Agents NIPS 2024
Multi-Agent Bandit Learning through Heterogeneous Action Erasure Channels AISTATS 2024
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents NIPS 2024
Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners NIPS 2024
Independent Learning in Constrained Markov Potential Games AISTATS 2024
MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems NIPS 2024
MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution NIPS 2024
Privacy-Preserving Decentralized Actor-Critic for Cooperative Multi-Agent Reinforcement Learning AISTATS 2024
Aligning Individual and Collective Objectives in Multi-Agent Cooperation NIPS 2024
Opponent Modeling with In-context Search NIPS 2024
Provable Partially Observable Reinforcement Learning with Privileged Information NIPS 2024
Learning Distinguishable Trajectory Representation with Contrastive Loss NIPS 2024
LACIE: Listener-Aware Finetuning for Calibration in Large Language Models NIPS 2024