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Multi-Agent Systems

948 directly classified papers

Papers per year

Papers

Aligning Individual and Collective Objectives in Multi-Agent Cooperation NIPS 2024
Corruption-Robust Offline Two-Player Zero-Sum Markov Games AISTATS 2024
Decomposing Temporal Equilibrium Strategy for Coordinated Distributed Multi-Agent Reinforcement Learning AAAI 2024
Finite-Time Convergence Rates of Decentralized Local Markovian Stochastic Approximation IJCAI 2024
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training ACL 2024
LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation CVPR 2024
Carbon Footprint Reduction for Sustainable Data Centers in Real-Time AAAI 2024
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance NIPS 2024
Learning Pareto Set for Multi-Objective Continuous Robot Control IJCAI 2024
Selective Learning for Sample-Efficient Training in Multi-Agent Sparse Reward Tasks (Extended Abstract) IJCAI 2024
TaxoCritic: Exploring Credit Assignment in Taxonomy Induction with Multi-Critic Reinforcement Learning COLING 2024
Off-Agent Trust Region Policy Optimization IJCAI 2024
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property AAAI 2024
The Dormant Neuron Phenomenon in Multi-Agent Reinforcement Learning Value Factorization NIPS 2024
Sharing the Cost of Success: A Game for Evaluating and Learning Collaborative Multi-Agent Instruction Giving and Following Policies COLING 2024
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning IJCAI 2024
Bandit Pareto Set Identification: the Fixed Budget Setting AISTATS 2024
Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training NIPS 2024
Principal-Agent Reward Shaping in MDPs AAAI 2024
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces AISTATS 2024
SAEIR: Sequentially Accumulated Entropy Intrinsic Reward for Cooperative Multi-Agent Reinforcement Learning with Sparse Reward IJCAI 2024
Learning Regularized Graphon Mean-Field Games with Unknown Graphons JMLR 2024
PMAC: Personalized Multi-Agent Communication AAAI 2024
Mean-Field Games With Finitely Many Players: Independent Learning and Subjectivity JMLR 2024
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning JMLR 2024