Multi-Agent Systems
1,251 papers
Papers per year
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Papers
Tackling Safe and Efficient Multi-Agent Reinforcement Learning via Dynamic Shielding (Student Abstract)
AAAI 2023
Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning
NeurIPS 2023
The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium
NeurIPS 2023
The Complexity of Markov Equilibrium in Stochastic Games
COLT 2023
The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning Dynamics
ICML 2023
Theory of Mind for Multi-Agent Collaboration via Large Language Models
EMNLP 2023
Toward Multi-Agent Reinforcement Learning for Distributed Event-Triggered Control
L4DC 2023
TraCo: Learning Virtual Traffic Coordinator for Cooperation with Multi-Agent Reinforcement Learning
CoRL 2023
Two Heads are Better Than One: A Simple Exploration Framework for Efficient Multi-Agent Reinforcement Learning
NeurIPS 2023
Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback
NeurIPS 2023
Universal Agent Mixtures and the Geometry of Intelligence
AISTATS 2023
User Simulator Assisted Open-ended Conversational Recommendation System
ACL 2023
Who Needs to Know? Minimal Knowledge for Optimal Coordination
ICML 2023
Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs
AAAI 2023
A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning
AAAI 2022
A Formal Model for Multiagent Q-Learning Dynamics on Regular Graphs
IJCAI 2022
AIIR-MIX: Multi-Agent Reinforcement Learning Meets
Attention Individual Intrinsic Reward Mixing
Network
ACML 2022
ALMA: Hierarchical Learning for Composite Multi-Agent Tasks
NeurIPS 2022
Almost Optimal Algorithms for Two-player Zero-Sum Linear Mixture Markov Games
ALT 2022
A Mean-Field Game Approach to Cloud Resource Management with Function Approximation
NeurIPS 2022
A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning
AAAI 2022
An Analytical Update Rule for General Policy Optimization
ICML 2022
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games
ICML 2022
Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning
NeurIPS 2022
A Unified Diversity Measure for Multiagent Reinforcement Learning
NeurIPS 2022