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Methodology
← Methods
Reinforcement Learning
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Methods
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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
PaCo: Parameter-Compositional Multi-task Reinforcement Learning
NIPS 2022
The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games
NIPS 2022
Non-Linear Coordination Graphs
NIPS 2022
Proximal Learning With Opponent-Learning Awareness
NIPS 2022
Human-Robotic Prosthesis as Collaborating Agents for Symmetrical Walking
NIPS 2022
MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control
NIPS 2022
Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments
NIPS 2022
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems
NIPS 2022
Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game
NIPS 2022
Multiagent Q-learning with Sub-Team Coordination
NIPS 2022
Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning
NIPS 2022
Distributed Inverse Constrained Reinforcement Learning for Multi-agent Systems
NIPS 2022
Universally Expressive Communication in Multi-Agent Reinforcement Learning
NIPS 2022
Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing
NIPS 2022
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL
NIPS 2022
A Mean-Field Game Approach to Cloud Resource Management with Function Approximation
NIPS 2022
Heterogeneous Skill Learning for Multi-agent Tasks
NIPS 2022
Learning to Mitigate AI Collusion on Economic Platforms
NIPS 2022
Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium
NIPS 2022
MAPDP: Cooperative Multi-Agent Reinforcement Learning to Solve Pickup and Delivery Problems
AAAI 2022
Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning
NIPS 2022
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning
NIPS 2022
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem
NIPS 2022
Provable General Function Class Representation Learning in Multitask Bandits and MDP
NIPS 2022
Smooth Fictitious Play in Stochastic Games with Perturbed Payoffs and Unknown Transitions
NIPS 2022
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