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← Core AI
Artificial Intelligence
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Core AI
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Multi-Agent Systems
3,306 papers
Papers per year
2003: 3
2005: 4
2006: 6
2007: 10
2008: 10
2009: 11
2010: 8
2011: 12
2012: 11
2013: 25
2014: 18
2015: 19
2016: 25
2017: 96
2018: 117
2019: 248
2020: 262
2021: 315
2022: 287
2023: 339
2024: 453
2025: 737
2026: 290
Papers
Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making
ICML 2023
Near-Optimal $Φ$-Regret Learning in Extensive-Form Games
ICML 2023
Doubly Optimal No-Regret Learning in Monotone Games
ICML 2023
Multi-Agent Learning from Learners
ICML 2023
Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits
ICML 2023
Learning to Optimize Differentiable Games
ICML 2023
Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
ICML 2023
Parallel Online Clustering of Bandits via Hedonic Game
ICML 2023
Inferring Relational Potentials in Interacting Systems
ICML 2023
Hardness of Independent Learning and Sparse Equilibrium Computation in Markov Games
ICML 2023
Algorithmic Collective Action in Machine Learning
ICML 2023
Language Instructed Reinforcement Learning for Human-AI Coordination
ICML 2023
The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning Dynamics
ICML 2023
DevFormer: A Symmetric Transformer for Context-Aware Device Placement
ICML 2023
Who Needs to Know? Minimal Knowledge for Optimal Coordination
ICML 2023
RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution
ICML 2023
Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks
ICML 2023
Cooperative Open-ended Learning Framework for Zero-Shot Coordination
ICML 2023
Graph Switching Dynamical Systems
ICML 2023
Lazy Agents: A New Perspective on Solving Sparse Reward Problem in Multi-agent Reinforcement Learning
ICML 2023
Partially Observable Multi-agent RL with (Quasi-)Efficiency: The Blessing of Information Sharing
ICML 2023
Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning
ICML 2023
N$\text{A}^{\text{2}}$Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning
ICML 2023
HOPE: High-order Graph ODE For Modeling Interacting Dynamics
ICML 2023
Learning Intuitive Policies Using Action Features
ICML 2023
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