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 1701–1710 of 1718 papers

Title	Date	Tasks	Status
Neuron as an Agent	Jan 1, 2018	counterfactualMulti-agent Reinforcement Learning	—Unverified
MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence	Dec 2, 2017	GPUMulti-agent Reinforcement Learning	CodeCode Available
Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning	Nov 3, 2017	Multi-agent Reinforcement LearningMulti-Task Learning	—Unverified
Parameter Sharing Deep Deterministic Policy Gradient for Cooperative Multi-agent Reinforcement Learning	Oct 1, 2017	Deep Reinforcement LearningMulti-agent Reinforcement Learning	—Unverified
Learning with Opponent-Learning Awareness	Sep 13, 2017	Multi-agent Reinforcement LearningReinforcement Learning	CodeCode Available
Prosocial learning agents solve generalized Stag Hunts better than selfish ones	Sep 8, 2017	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available
ACCNet: Actor-Coordinator-Critic Net for "Learning-to-Communicate" with Deep Multi-agent Reinforcement Learning	Jun 10, 2017	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified
Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning	Apr 10, 2017	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability	Mar 17, 2017	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified
Analysing Congestion Problems in Multi-agent Reinforcement Learning	Feb 28, 2017	Multi-agent Reinforcement Learningreinforcement-learning	—Unverified

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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