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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
Multi-Agent Reinforcement Learning with Reward Delays
L4DC 2023
Multi-Agent Learning from Learners
ICML 2023
Online Defense Strategies for Reinforcement Learning Against Adaptive Reward Poisoning
AISTATS 2023
Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
ICML 2023
Quantum Multi-Agent Meta Reinforcement Learning
AAAI 2023
Theory of Mind for Multi-Agent Collaboration via Large Language Models
EMNLP 2023
Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning
L4DC 2023
Policy Gradient Play with Networked Agents in Markov Potential Games
L4DC 2023
Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training
IJCAI 2023
Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient
AAAI 2023
Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks
AAAI 2023
Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers
AAAI 2023
Learning Multi-agent Behaviors from Distributed and Streaming Demonstrations
NIPS 2023
A Pair-Approximation Method for Modelling the Dynamics of Multi-Agent Stochastic Games
AAAI 2023
Regret Minimization and Convergence to Equilibria in General-sum Markov Games
ICML 2023
Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning
NIPS 2023
Incremental Reinforcement Learning with Dual-Adaptive ε-Greedy Exploration
AAAI 2023
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games
NIPS 2023
Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning
NIPS 2023
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning
NIPS 2023
Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning
AAAI 2023
Multi-Agent First Order Constrained Optimization in Policy Space
NIPS 2023
On Imitation in Mean-field Games
NIPS 2023
A Reduction-based Framework for Sequential Decision Making with Delayed Feedback
NIPS 2023
Synthesizing Resilient Strategies for Infinite-Horizon Objectives in Multi-Agent Systems
IJCAI 2023
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