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Methodology
← Learning Types
Machine Learning
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Multi-Agent Systems
788 directly classified papers
Papers per year
2006: 2
2007: 3
2008: 3
2009: 1
2011: 2
2012: 4
2013: 12
2014: 9
2015: 8
2016: 6
2017: 27
2018: 32
2019: 70
2020: 74
2021: 98
2022: 109
2023: 85
2024: 130
2025: 112
2026: 1
Papers
Multiwinner Voting with Possibly Unavailable Candidates
AAAI 2023
MANSA: Learning Fast and Slow in Multi-Agent Systems
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
Scaling Up and Distilling Down: Language-Guided Robot Skill Acquisition
CORL 2023
SLAP: Spatial-Language Attention Policies
CORL 2023
Modeling with Homophily Driven Heterogeneous Data in Gossip Learning
IJCAI 2023
Causal Strategic Classification: A Tale of Two Shifts
ICML 2023
Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation
ICML 2023
An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning
ICML 2023
Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning
ICML 2023
Foundations of Cooperative AI
AAAI 2023
Maximizing the Probability of Fixation in the Positional Voter Model
AAAI 2023
Multi-Unit Auctions for Allocating Chance-Constrained Resources
AAAI 2023
Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning
AAAI 2023
Learning to Play General-Sum Games against Multiple Boundedly Rational Agents
AAAI 2023
ProphNet: Efficient Agent-Centric Motion Forecasting With Anchor-Informed Proposals
CVPR 2023
Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning
AAAI 2023
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning
AAAI 2023
DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning
AAAI 2023
Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning
ICML 2023
Synchronization and Diversity of Solutions
AAAI 2023
Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient
AAAI 2023
Two-Scale Gradient Descent Ascent Dynamics Finds Mixed Nash Equilibria of Continuous Games: A Mean-Field Perspective
ICML 2023
Enabling First-Order Gradient-Based Learning for Equilibrium Computation in Markets
ICML 2023
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