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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
A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits
NIPS 2022
ResQ: A Residual Q Function-based Approach for Multi-Agent Reinforcement Learning Value Factorization
NIPS 2022
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL
NIPS 2022
Self-Organized Group for Cooperative Multi-agent Reinforcement Learning
NIPS 2022
Fairness in Federated Learning via Core-Stability
NIPS 2022
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning
NIPS 2022
Surprise Minimizing Multi-Agent Learning with Energy-based Models
NIPS 2022
Equivariant Networks for Zero-Shot Coordination
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
Equivariant Graph Hierarchy-Based Neural Networks
NIPS 2022
BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework
NIPS 2022
Learning in Congestion Games with Bandit Feedback
NIPS 2022
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning
NIPS 2022
Emergent Graphical Conventions in a Visual Communication Game
NIPS 2022
Envy-free Policy Teaching to Multiple Agents
NIPS 2022
Fair and Efficient Allocations Without Obvious Manipulations
NIPS 2022
Shield Decentralization for Safe Multi-Agent Reinforcement Learning
NIPS 2022
DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning
NIPS 2022
Near-Optimal Collaborative Learning in Bandits
NIPS 2022
Near-Optimal Multi-Agent Learning for Safe Coverage Control
NIPS 2022
Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets
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
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