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Methodology
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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
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems
NIPS 2021
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning
NIPS 2021
Emergent Discrete Communication in Semantic Spaces
NIPS 2021
Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization
NIPS 2021
FACMAC: Factored Multi-Agent Centralised Policy Gradients
NIPS 2021
Settling the Variance of Multi-Agent Policy Gradients
NIPS 2021
Collaborating with Humans without Human Data
NIPS 2021
PettingZoo: Gym for Multi-Agent Reinforcement Learning
NIPS 2021
On Blame Attribution for Accountable Multi-Agent Sequential Decision Making
NIPS 2021
Dynamic population-based meta-learning for multi-agent communication with natural language
NIPS 2021
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning
NIPS 2021
Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL
NIPS 2021
A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning
NIPS 2021
Decentralized Q-learning in Zero-sum Markov Games
NIPS 2021
Conflict-Averse Gradient Descent for Multi-task learning
NIPS 2021
Agent Modelling under Partial Observability for Deep Reinforcement Learning
NIPS 2021
Learning in Non-Cooperative Configurable Markov Decision Processes
NIPS 2021
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents
NIPS 2021
Bi-Level Actor-Critic for Multi-Agent Coordination
AAAI 2020
A Reinforcement Learning Approach to Strategic Belief Revelation with Social Influence
AAAI 2020
Finite-Time Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation
AISTATS 2020
Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity
AISTATS 2020
Agbots 2.0: Weeding Denser Fields with Fewer Robots
RSS 2020
Learning Latent Representations to Influence Multi-Agent Interaction
CORL 2020
Learning a Decentralized Multi-Arm Motion Planner
CORL 2020
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