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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
Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos
AAAI 2024
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning
AAAI 2024
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf
NIPS 2024
Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning
AAAI 2024
Multi-agent assignment via state augmented reinforcement learning
L4DC 2024
Factored Online Planning in Many-Agent POMDPs
AAAI 2024
Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning
AAAI 2024
Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE
NIPS 2024
Expressive Multi-Agent Communication via Identity-Aware Learning
AAAI 2024
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing
AAAI 2024
Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck
AAAI 2024
ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning
AAAI 2024
Refined Sample Complexity for Markov Games with Independent Linear Function Approximation (Extended Abstract)
COLT 2024
TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient
AAAI 2024
Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning
AAAI 2024
Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games
JMLR 2023
Toward Multi-Agent Reinforcement Learning for Distributed Event-Triggered Control
L4DC 2023
CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces
L4DC 2023
A Pair-Approximation Method for Modelling the Dynamics of Multi-Agent Stochastic Games
AAAI 2023
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare
IJCAI 2023
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning
JMLR 2023
Faster Target Encirclement with Utilization of Obstacles via Multi-Agent Reinforcement Learning
ACML 2023
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables
AISTATS 2023
Interpreting Primal-Dual Algorithms for Constrained Multiagent Reinforcement Learning
L4DC 2023
Incremental Reinforcement Learning with Dual-Adaptive ε-Greedy Exploration
AAAI 2023
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