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Multi-Agent Systems

264 directly classified papers

Papers per year

Papers

GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL AAAI 2025
Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games IJCAI 2025
GTDE: Grouped Training with Decentralized Execution for Multi-agent Actor-Critic AAAI 2025
R2D2: Remembering, Replaying and Dynamic Decision Making with a Reflective Agentic Memory ACL 2025
Efficient Communication in Multi-Agent Reinforcement Learning with Implicit Consensus Generation AAAI 2025
System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning JMLR 2025
Learning Nash Equilibrium of Markov Potential Games with a Shared Constraint via Primal-Dual Optimization AAAI 2025
Sequential Order Adjustment of Action Decisions for Multi-Agent Transformer (Student Abstract) AAAI 2025
Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL AAAI 2025
Optimally Solving Simultaneous-Move Dec-POMDPs: The Sequential Central Planning Approach AAAI 2025
Learning Global Nash Equilibrium in Team Competitive Games with Generalized Fictitious Cross-Play JMLR 2025
Learning Joint Behaviors with Large Variations AAAI 2025
AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning AAAI 2025
Acting Beyond Learning: Imagination-Assisted Decision-Making in the Visual-based Multi-Agent Cooperative Scenarios AAAI 2025
Maximum Causal Entropy IRL in Mean-Field Games and GNEP Framework for Forward RL JMLR 2025
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning AAAI 2025
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning AAAI 2024
Mean-Field Games With Finitely Many Players: Independent Learning and Subjectivity JMLR 2024
TEAMSTER: Model-Based Reinforcement Learning for Ad Hoc Teamwork (Abstract Reprint) AAAI 2024
Data Poisoning to Fake a Nash Equilibria for Markov Games AAAI 2024
Learning Regularized Graphon Mean-Field Games with Unknown Graphons JMLR 2024
The Dormant Neuron Phenomenon in Multi-Agent Reinforcement Learning Value Factorization NIPS 2024
Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games AAAI 2024
Privacy-Preserving Decentralized Actor-Critic for Cooperative Multi-Agent Reinforcement Learning AISTATS 2024
Multi-Agent Learning in Contextual Games under Unknown Constraints AISTATS 2024