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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
MAPS: Multi-Agent reinforcement learning-based Portfolio management System.
IJCAI 2020
MaCAR: Urban Traffic Light Control via Active Multi-agent Communication and Action Rectification
IJCAI 2020
Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval
CVPR 2020
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach
ICML 2020
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning
ICML 2020
Multi-Agent Routing Value Iteration Network
ICML 2020
Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning
ICML 2020
Multi-Agent Determinantal Q-Learning
ICML 2020
Learning Goal-oriented Dialogue Policy with opposite Agent Awareness
AACL 2020
Learning from Easy to Complex: Adaptive Multi-Curricula Learning for Neural Dialogue Generation
AAAI 2020
Bi-Level Actor-Critic for Multi-Agent Coordination
AAAI 2020
SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning
AAAI 2020
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence
AAAI 2020
Communication Learning via Backpropagation in Discrete Channels with Unknown Noise
AAAI 2020
AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism
AAAI 2020
Partner Selection for the Emergence of Cooperation in Multi-Agent Systems Using Reinforcement Learning
AAAI 2020
The route to chaos in routing games: When is price of anarchy too optimistic?
NIPS 2020
Bayesian Learning with Adaptive Load Allocation Strategies
L4DC 2020
Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management
AAAI 2020
Macro-Action-Based Deep Multi-Agent Reinforcement Learning
CORL 2019
Correlated Learning for Aggregation Systems
UAI 2019
Deep Reinforcement Learning for Ride-sharing Dispatching and Repositioning
IJCAI 2019
Failure-Scenario Maker for Rule-Based Agent using Multi-agent Adversarial Reinforcement Learning and its Application to Autonomous Driving
IJCAI 2019
Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning
AAAI 2019
Learning Mean-Field Games
NIPS 2019
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