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

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Showing 901–910 of 1718 papers

Title	Date	Tasks	Status	Hype
Multi-agent Deep Covering Skill Discovery	Oct 7, 2022	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified	0
Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios	Oct 5, 2022	Autonomous VehiclesMulti-agent Reinforcement Learning	—Unverified	0
Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning	Oct 4, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	0
Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games	Oct 3, 2022	Multi-agent Reinforcement Learning	—Unverified	0
Scaling Laws for a Multi-Agent Reinforcement Learning Model	Sep 29, 2022	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	0
Minimax Optimal Kernel Operator Learning via Multilevel Training	Sep 28, 2022	Causal InferenceMulti-agent Reinforcement Learning	—Unverified	0
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning	Sep 28, 2022	Graph Neural NetworkMulti-agent Reinforcement Learning	CodeCode Available	2
More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization	Sep 26, 2022	Multi-agent Reinforcement Learning	CodeCode Available	1
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL	Sep 21, 2022	Decision MakingMulti-agent Reinforcement Learning	CodeCode Available	1
IRS Assisted NOMA Aided Mobile Edge Computing with Queue Stability: Heterogeneous Multi-Agent Reinforcement Learning	Sep 20, 2022	Edge-computingMulti-agent Reinforcement Learning	—Unverified	0

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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