Multi-agent Reinforcement Learning

The target of Multi-agent Reinforcement Learning is to solve complex problems by integrating multiple agents that focus on different sub-tasks. In general, there are two types of multi-agent systems: independent and cooperative systems.

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Papers

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Showing 101–125 of 1718 papers

Title	Date	Tasks	Status	Hype	Score
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control	Mar 6, 2020	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
Cooperation and Fairness in Multi-Agent Reinforcement Learning	Oct 19, 2024	FairnessMulti-agent Reinforcement Learning	CodeCode Available	1	5
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning	Jun 4, 2021	DiversityMulti-agent Reinforcement Learning	CodeCode Available	1	5
Cooperative Multi-Agent Reinforcement Learning with Sequential Credit Assignment	May 21, 2021	counterfactualMulti-agent Reinforcement Learning	CodeCode Available	1	5
Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations	Dec 24, 2020	DecoderGraph Attention	CodeCode Available	1	5
Inequity aversion improves cooperation in intertemporal social dilemmas	Mar 23, 2018	Multi-agent Reinforcement LearningReinforcement Learning	CodeCode Available	1	5
An Empirical Study on Google Research Football Multi-agent Scenarios	May 16, 2023	BenchmarkingMulti-agent Reinforcement Learning	CodeCode Available	1	5
Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning	May 28, 2019	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
Environmental effects on emergent strategy in micro-scale multi-agent reinforcement learning	Jul 3, 2023	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning	Jun 7, 2020	counterfactualMulti-agent Reinforcement Learning	CodeCode Available	1	5
CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement Learning	Mar 16, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
Curriculum Learning With Counterfactual Group Relative Policy Advantage For Multi-Agent Reinforcement Learning	Jun 9, 2025	counterfactualMulti-agent Reinforcement Learning	CodeCode Available	1	5
An Extended Benchmarking of Multi-Agent Reinforcement Learning Algorithms in Complex Fully Cooperative Tasks	Feb 7, 2025	BenchmarkingMulti-agent Reinforcement Learning	CodeCode Available	1	5
Distributed Multi-Agent Reinforcement Learning with One-hop Neighbors and Compute Straggler Mitigation	Feb 18, 2022	Distributed ComputingMulti-agent Reinforcement Learning	CodeCode Available	1	5
Decentralized Social Navigation with Non-Cooperative Robots via Bi-Level Optimization	Jun 15, 2023	Collision AvoidanceMulti-agent Reinforcement Learning	CodeCode Available	1	5
DeepFreight: Integrating Deep Reinforcement Learning and Mixed Integer Programming for Multi-transfer Truck Freight Delivery	Mar 5, 2021	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available	1	5
Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images	Aug 18, 2020	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning	Apr 14, 2021	counterfactualDeep Reinforcement Learning	CodeCode Available	1	5
A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control	Mar 30, 2025	FairnessMulti-agent Reinforcement Learning	CodeCode Available	1	5
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration	Nov 22, 2021	Efficient ExplorationMulti-agent Reinforcement Learning	CodeCode Available	1	5
Game-Theoretic Multiagent Reinforcement Learning	Nov 1, 2020	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning	Oct 15, 2020	ManagementMulti-agent Reinforcement Learning	CodeCode Available	1	5
A Game-Theoretic Approach to Multi-Agent Trust Region Optimization	Jun 12, 2021	Atari GamesMuJoCo	CodeCode Available	1	5
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents	Feb 23, 2018	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1	5
AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N	Aug 15, 2022	EthicsMulti-agent Reinforcement Learning	CodeCode Available	1	5

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All datasets ParticleEnvs Cooperative Communication SMAC-Exp UAV Logistics

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	MATD3	final agent reward	-14	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DRIMA	Median Win Rate	15	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Fusion-Multi-Actor-Attention-Critic	Average Reward	39	—	Unverified