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Methodology
← Methods
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
Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning
IJCAI 2023
Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning
CORL 2023
Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation
CORL 2023
Dynamic Handover: Throw and Catch with Bimanual Hands
CORL 2023
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning
IJCAI 2023
Hijacking Robot Teams Through Adversarial Communication
CORL 2023
Convergence rates for localized actor-critic in networked Markov potential games
UAI 2023
Multi-Agent Reinforcement Learning with Reward Delays
L4DC 2023
Provably Efficient Model-free RL in Leader-Follower MDP with Linear Function Approximation
L4DC 2023
Poisoning the Well: Can We Simultaneously Attack a Group of Learning Agents?
IJCAI 2023
Revisiting Weighted Strategy for Non-stationary Parametric Bandits
AISTATS 2023
Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training
IJCAI 2023
Recursive Small-Step Multi-Agent A* for Dec-POMDPs
IJCAI 2023
Tackling Safe and Efficient Multi-Agent Reinforcement Learning via Dynamic Shielding (Student Abstract)
AAAI 2023
Toward Multi-Agent Reinforcement Learning for Distributed Event-Triggered Control
L4DC 2023
Faster Target Encirclement with Utilization of Obstacles via Multi-Agent Reinforcement Learning
ACML 2023
Self-Supervised Neuron Segmentation with Multi-Agent Reinforcement Learning
IJCAI 2023
Exploration via Joint Policy Diversity for Sparse-Reward Multi-Agent Tasks
IJCAI 2023
CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces
L4DC 2023
Deep Hierarchical Communication Graph in Multi-Agent Reinforcement Learning
IJCAI 2023
Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning
IJCAI 2023
Multi-Action Dialog Policy Learning from Logged User Feedback
AAAI 2023
Decentralized Robust V-learning for Solving Markov Games with Model Uncertainty
JMLR 2023
Boosting Multi-agent Reinforcement Learning via Contextual Prompting
JMLR 2023
Policy Gradient Play with Networked Agents in Markov Potential Games
L4DC 2023
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