multi-agent reinforcement learning

534 papers

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Also known as

MARL MADRL

Co-occurring keywords

multi-agent system (1743) cooperative multi-agent (43) nash equilibrium (396) game theory (852) markov game (86) reinforcement learning (4122) policy optimization (630) policy learning (699) cooperative learning (65) value decomposition (31)

Papers

Hijacking Robot Teams Through Adversarial Communication CORL 2023

F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning JMLR 2023

Enhancing Smart, Sustainable Mobility with Game Theory and Multi-Agent Reinforcement Learning With Applications to Ridesharing AAAI 2023

Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning AAAI 2023

Dynamic Handover: Throw and Catch with Bimanual Hands CORL 2023

TraCo: Learning Virtual Traffic Coordinator for Cooperation with Multi-Agent Reinforcement Learning CORL 2023

DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching AAAI 2023

Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems L4DC 2023

Embodied, Intelligent Communication for Multi-Agent Cooperation AAAI 2023

Faster Target Encirclement with Utilization of Obstacles via Multi-Agent Reinforcement Learning ACML 2023

Multi-Agent congestion cost minimization with linear function approximations AISTATS 2023

DACOM: Learning Delay-Aware Communication for Multi-Agent Reinforcement Learning AAAI 2023

Scalable Communication for Multi-Agent Reinforcement Learning via Transformer-Based Email Mechanism IJCAI 2023

Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning AISTATS 2023

Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers AAAI 2023

Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles AAAI 2023

Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient AAAI 2023

Breaking the Curse of Multiagency: Provably Efficient Decentralized Multi-Agent RL with Function Approximation COLT 2023

Multi-Agent Automated Machine Learning CVPR 2023

PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation CVPR 2023

Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity NIPS 2023

Learning to Optimize Differentiable Games ICML 2023

Theory of Mind for Multi-Agent Collaboration via Large Language Models EMNLP 2023

Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition AAAI 2023

Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms NIPS 2023