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Multi-Agent Systems

948 directly classified papers

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Papers

An Adversary-Resistant Multi-Agent LLM System via Credibility Scoring IJCNLP 2025
BFTBrain: Adaptive BFT Consensus with Reinforcement Learning NSDI 2025
Walk Wisely on Graph: Knowledge Graph Reasoning with Dual Agents via Efficient Guidance-Exploration AAAI 2025
Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning AAAI 2025
Discovering Options That Minimize Average Planning Time AAAI 2025
Asynchronous Credit Assignment for Multi-Agent Reinforcement Learning IJCAI 2025
Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic Diversity IJCAI 2025
Learning Nash Equilibrium of Markov Potential Games with a Shared Constraint via Primal-Dual Optimization AAAI 2025
Quantifying the Self-Interest Level of Markov Social Dilemmas IJCAI 2025
Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning AAAI 2025
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning AAAI 2025
GTDE: Grouped Training with Decentralized Execution for Multi-agent Actor-Critic AAAI 2025
Learn How to Query from Unlabeled Data Streams in Federated Learning AAAI 2025
AgentMixer: Multi-Agent Correlated Policy Factorization AAAI 2025
Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization AAAI 2025
Acting Beyond Learning: Imagination-Assisted Decision-Making in the Visual-based Multi-Agent Cooperative Scenarios AAAI 2025
Investigating Relational State Abstraction in Collaborative MARL AAAI 2025
AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning AAAI 2025
Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL AAAI 2025
Online Competitive Information Gathering for Partially Observable Trajectory Games RSS 2025
The Hidden Strength of Disagreement: Unraveling the Consensus-Diversity Tradeoff in Adaptive Multi-Agent Systems EMNLP 2025
Batch Ensemble for Variance Dependent Regret in Stochastic Bandits AAAI 2025
Debate4MATH: Multi-Agent Debate for Fine-Grained Reasoning in Math ACL 2025
LNS2+RL: Combining Multi-agent Reinforcement Learning with Large Neighborhood Search in Multi-agent Path Finding AAAI 2025
Learning to Collaborate with Unknown Agents in the Absence of Reward AAAI 2025