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Reinforcement Learning
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Multi-Agent Systems
264 directly classified papers
Papers per year
2009: 1
2011: 1
2012: 2
2013: 4
2014: 1
2017: 7
2018: 11
2019: 18
2020: 31
2021: 34
2022: 47
2023: 44
2024: 47
2025: 16
Papers
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer
ICML 2022
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL
ICML 2022
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
NIPS 2022
A Unified Diversity Measure for Multiagent Reinforcement Learning
NIPS 2022
Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic Games
ICML 2021
Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation
IJCAI 2021
Multi-Agent Reinforcement Learning for Automated Peer-to-Peer Energy Trading in Double-Side Auction Market
IJCAI 2021
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts
IJCAI 2021
CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space
IJCAI 2021
Multi-agent Approach to Resource Allocation in Autonomous Vehicle Fleets
IJCAI 2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
ICML 2021
Trajectory Diversity for Zero-Shot Coordination
ICML 2021
Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition
ICML 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
ICML 2021
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
ICML 2021
The Emergence of Individuality
ICML 2021
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning
ICML 2021
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning
ICML 2021
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing
ICML 2021
Large-Scale Multi-Agent Deep FBSDEs
ICML 2021
A Collaborative Multi-agent Reinforcement Learning Framework for Dialog Action Decomposition
EMNLP 2021
Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits
JMLR 2021
Reinforcement Learning for Mean Field Games with Strategic Complementarities
AISTATS 2021
Logical Team Q-learning: An approach towards factored policies in cooperative MARL
AISTATS 2021
Solving Common-Payoff Games with Approximate Policy Iteration
AAAI 2021
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