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.

Source: Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-Ray Reports

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1691–1700 of 1718 papers

Title	Date	Tasks	Status
Self-Organized Polynomial-Time Coordination Graphs	Dec 7, 2021	Computational EfficiencyMulti-agent Reinforcement Learning	CodeCode Available
Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics	Oct 3, 2019	Multi-agent Reinforcement LearningReinforcement Learning	CodeCode Available
Learning Progress Driven Multi-Agent Curriculum	May 20, 2022	Multi-agent Reinforcement LearningOpen-Ended Question Answering	CodeCode Available
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning	Dec 20, 2024	DiversityMulti-agent Reinforcement Learning	CodeCode Available
Distributed Transmission Control for Wireless Networks using Multi-Agent Reinforcement Learning	May 13, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
Using Fuzzy Logic to Learn Abstract Policies in Large-Scale Multi-Agent Reinforcement Learning	Apr 27, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available
Distributed-Training-and-Execution Multi-Agent Reinforcement Learning for Power Control in HetNet	Dec 15, 2022	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available
Adaptive trajectory-constrained exploration strategy for deep reinforcement learning	Dec 27, 2023	Deep Reinforcement LearningMuJoCo	CodeCode Available
Finding Friend and Foe in Multi-Agent Games	Jun 5, 2019	counterfactualMulti-agent Reinforcement Learning	CodeCode Available
Collaborative Information Dissemination with Graph-based Multi-Agent Reinforcement Learning	Aug 25, 2023	Autonomous VehiclesDisaster Response	CodeCode Available

Show:10 25 50

← PrevPage 170 of 172Next →

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