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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
Learning Regularized Graphon Mean-Field Games with Unknown Graphons
JMLR 2024
Mean-Field Games With Finitely Many Players: Independent Learning and Subjectivity
JMLR 2024
Global rewards in multi-agent deep reinforcement learning for autonomous mobility on demand systems
L4DC 2024
Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training
NIPS 2024
Robust cooperative multi-agent reinforcement learning: A mean-field type game perspective
L4DC 2024
STAS: Spatial-Temporal Return Decomposition for Solving Sparse Rewards Problems in Multi-agent Reinforcement Learning
AAAI 2024
MADiff: Offline Multi-agent Learning with Diffusion Models
NIPS 2024
Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence
NIPS 2024
Decentralized Natural Policy Gradient with Variance Reduction for Collaborative Multi-Agent Reinforcement Learning
JMLR 2024
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator
NIPS 2024
Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms
NIPS 2024
LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation
CVPR 2024
Feint Behaviors and Strategies: Formalization, Implementation and Evaluation
NIPS 2024
Multi-Agent Imitation Learning: Value is Easy, Regret is Hard
NIPS 2024
Bio-inspired Dynamic and Decentralized Online Learning in Uninformed Heterogeneous Multi-Agent Environments
IJCAI 2024
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
JMLR 2024
Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners
NIPS 2024
Carbon Market Simulation with Adaptive Mechanism Design
IJCAI 2024
Heterogeneous-Agent Reinforcement Learning
JMLR 2024
M2RL: A Multi-player Multi-agent Reinforcement Learning Framework for Complex Games
IJCAI 2024
A Multitask Training Approach to Enhance Whisper with Open-Vocabulary Keyword Spotting
INTERSPEECH 2024
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning
JMLR 2024
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL)
JMLR 2024
Opponent Modeling based on Subgoal Inference
NIPS 2024
Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning
NIPS 2024
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