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Multi-Agent Systems

948 directly classified papers

Papers per year

Papers

Investigating the Impact of Direct Punishment on the Emergence of Cooperation in Mulit-agent Reinforcement Learning Systems (Abstract Reprint) AAAI 2026
Designing Incentives for Networked Multi-agent Systems AAAI 2026
CtoD-MAT: Bridging Centralized and Decentralized Execution in Multi-Agent Reinforcement Learning (Student Abstract) AAAI 2026
Learning to Generate and Extract: A Multi-Agent Collaboration Framework for Zero-Shot Document-Level Event Arguments Extraction AAAI 2026
VIL2C: Value-of-Information Aware Low-Latency Communication for Multi-Agent Reinforcement Learning AAAI 2026
Multi-Agent Pointer Transformer: Seq-to-Seq Reinforcement Learning for Multi-Vehicle Dynamic Pickup-Delivery Problems AAAI 2026
Explaining Decentralized Multi-Agent Reinforcement Learning Policies AAAI 2026
Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning AAAI 2026
MARS: A Meta-Adaptive Reinforcement Learning Framework for Risk-Aware Multi-Agent Portfolio Management AAAI 2026
Gradient-Protected Value Decomposition for Cooperative Multi-Agent Reinforcement Learning AAAI 2026
Beyond Monotonicity: Revisiting Factorization Principles in Multi-Agent Q-Learning AAAI 2026
Multi-agent In-context Coordination via Decentralized Memory Retrieval AAAI 2026
Partial Action Replacement: Tackling Distribution Shift in Offline MARL AAAI 2026
TMAE:Learning Targeted Multi-Agent Exploration via Causal Inference AAAI 2026
Soft Conflict-Resolution Decision Transformer for Offline Multi-Task Reinforcement Learning AAAI 2026
ADAPT: Adaptive Decentralized Architecture with Perception-Aligned Training for Structural Generalization in Multi-Agent RL AAAI 2026
Distributionally Robust Online Markov Game with Linear Function Approximation AAAI 2026
Emergent Fast-Slow Dynamics in Multi-Agent Q-Learning for Networked Stochastic Games AAAI 2026
GRIP: Latent Field-Guided Graph Policy for Budget-Constrained Multi-Agent Routing AAAI 2026
Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction CVPR 2025
MADS: Multi-Agent Dialogue Simulation for Diverse Persuasion Data Generation EMNLP 2025
Resolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety RSS 2025
Explanations for Multi-Agent Reinforcement Learning AAAI 2025
Maximum Causal Entropy IRL in Mean-Field Games and GNEP Framework for Forward RL JMLR 2025
The Hidden Strength of Disagreement: Unraveling the Consensus-Diversity Tradeoff in Adaptive Multi-Agent Systems EMNLP 2025