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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
Self-Organized Group for Cooperative Multi-agent Reinforcement Learning
NIPS 2022
Surprise Minimizing Multi-Agent Learning with Energy-based Models
NIPS 2022
On the convergence of policy gradient methods to Nash equilibria in general stochastic games
NIPS 2022
ALMA: Hierarchical Learning for Composite Multi-Agent Tasks
NIPS 2022
Society of Agents: Regret Bounds of Concurrent Thompson Sampling
NIPS 2022
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward
NIPS 2022
A Unified Diversity Measure for Multiagent Reinforcement Learning
NIPS 2022
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
NIPS 2022
Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise Bonus
NIPS 2022
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning
NIPS 2022
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance
NIPS 2022
Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning
NIPS 2022
Shield Decentralization for Safe Multi-Agent Reinforcement Learning
NIPS 2022
Near-Optimal Multi-Agent Learning for Safe Coverage Control
NIPS 2022
Learning to Share in Networked Multi-Agent Reinforcement Learning
NIPS 2022
Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model
NIPS 2022
PAC: Assisted Value Factorization with Counterfactual Predictions in Multi-Agent Reinforcement Learning
NIPS 2022
Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning
NIPS 2022
Sample-Efficient Reinforcement Learning of Partially Observable Markov Games
NIPS 2022
DeepFoids: Adaptive Bio-Inspired Fish Simulation with Deep Reinforcement Learning
NIPS 2022
Influencing Long-Term Behavior in Multiagent Reinforcement Learning
NIPS 2022
Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets
NIPS 2022
Multi-agent Dynamic Algorithm Configuration
NIPS 2022
I2Q: A Fully Decentralized Q-Learning Algorithm
NIPS 2022
SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-agent Reinforcement Learning
NIPS 2022
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