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Methodology
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Reinforcement Learning
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Multi-Agent Systems
948 directly classified papers
Papers per year
2004: 1
2005: 1
2006: 1
2007: 2
2008: 3
2009: 3
2011: 3
2012: 2
2013: 9
2014: 3
2015: 4
2016: 5
2017: 21
2018: 30
2019: 66
2020: 101
2021: 110
2022: 135
2023: 183
2024: 138
2025: 83
2026: 44
Papers
MANSA: Learning Fast and Slow in Multi-Agent Systems
ICML 2023
N$\text{A}^{\text{2}}$Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning
ICML 2023
Partially Observable Multi-agent RL with (Quasi-)Efficiency: The Blessing of Information Sharing
ICML 2023
Lazy Agents: A New Perspective on Solving Sparse Reward Problem in Multi-agent Reinforcement Learning
ICML 2023
The Complexity of Markov Equilibrium in Stochastic Games
COLT 2023
RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution
ICML 2023
Who Needs to Know? Minimal Knowledge for Optimal Coordination
ICML 2023
An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning
ICML 2023
Robust Subtask Learning for Compositional Generalization
ICML 2023
Oracle-free Reinforcement Learning in Mean-Field Games along a Single Sample Path
AISTATS 2023
The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning Dynamics
ICML 2023
Social learning spontaneously emerges by searching optimal heuristics with deep reinforcement learning
ICML 2023
Multi-Agent congestion cost minimization with linear function approximations
AISTATS 2023
Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning
ICML 2023
Hardness of Independent Learning and Sparse Equilibrium Computation in Markov Games
ICML 2023
Decentralized Robust V-learning for Solving Markov Games with Model Uncertainty
JMLR 2023
Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning
NIPS 2023
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization
NIPS 2023
Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning
ICML 2023
Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
ICML 2023
Multi-Agent Learning from Learners
ICML 2023
Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning
AISTATS 2023
User Simulator Assisted Open-ended Conversational Recommendation System
ACL 2023
Symmetric (Optimistic) Natural Policy Gradient for Multi-Agent Learning with Parameter Convergence
AISTATS 2023
Learning Sparse Graphon Mean Field Games
AISTATS 2023
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