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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
Multi-Agent Game Abstraction via Graph Attention Neural Network
AAAI 2020
A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes
AAAI 2020
Improving Policies via Search in Cooperative Partially Observable Games
AAAI 2020
Communication Learning via Backpropagation in Discrete Channels with Unknown Noise
AAAI 2020
On the Convergence of Model Free Learning in Mean Field Games
AAAI 2020
Partner Selection for the Emergence of Cooperation in Multi-Agent Systems Using Reinforcement Learning
AAAI 2020
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning
AAAI 2020
Learning Agent Communication under Limited Bandwidth by Message Pruning
AAAI 2020
Reasoning on Knowledge Graphs with Debate Dynamics
AAAI 2020
Learning to Interactively Learn and Assist
AAAI 2020
Model and Reinforcement Learning for Markov Games with Risk Preferences
AAAI 2020
Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management
AAAI 2020
Stateful Posted Pricing with Vanishing Regret via Dynamic Deterministic Markov Decision Processes
NIPS 2020
Crush Optimism with Pessimism: Structured Bandits Beyond Asymptotic Optimality
NIPS 2020
Effective Diversity in Population Based Reinforcement Learning
NIPS 2020
Multi-Agent Determinantal Q-Learning
ICML 2020
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning
ICML 2020
Optimally Solving Two-Agent Decentralized POMDPs Under One-Sided Information Sharing
ICML 2020
Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning
ICML 2020
Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Objects
AAAI 2020
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach
ICML 2020
Multi-Agent Routing Value Iteration Network
ICML 2020
Multi-Task Reinforcement Learning with Soft Modularization
NIPS 2020
Continual Learning of Control Primitives : Skill Discovery via Reset-Games
NIPS 2020
Independent Policy Gradient Methods for Competitive Reinforcement Learning
NIPS 2020
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