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 201–225 of 1718 papers

Title	Date	Tasks	Status	Hype
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning	May 31, 2021	FairnessMulti-agent Reinforcement Learning	CodeCode Available	1
Cooperative Multi-Agent Reinforcement Learning with Sequential Credit Assignment	May 21, 2021	counterfactualMulti-agent Reinforcement Learning	CodeCode Available	1
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition	May 18, 2021	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts	May 7, 2021	Multi-agent Reinforcement LearningReinforcement Learning (RL)	CodeCode Available	1
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning	Apr 14, 2021	counterfactualDeep Reinforcement Learning	CodeCode Available	1
A coevolutionary approach to deep multi-agent reinforcement learning	Apr 12, 2021	Atari GamesDecision Making	CodeCode Available	1
C-COMA: A CONTINUAL REINFORCEMENT LEARNING MODEL FOR DYNAMIC MULTIAGENT ENVIRONMENTS	Apr 5, 2021	Continual LearningMulti-agent Reinforcement Learning	CodeCode Available	1
Local Patch AutoAugment with Multi-Agent Collaboration	Mar 20, 2021	Data AugmentationDiversity	CodeCode Available	1
The AI Arena: A Framework for Distributed Multi-Agent Reinforcement Learning	Mar 9, 2021	Multi-agent Reinforcement LearningOpenAI Gym	CodeCode Available	1
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
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games	Mar 2, 2021	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Multi-agent Reinforcement Learning in OpenSpiel: A Reproduction Report	Feb 27, 2021	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Multi-Agent Reinforcement Learning of 3D Furniture Layout Simulation in Indoor Graphics Scenes	Feb 18, 2021	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning	Feb 16, 2021	Multi-agent Reinforcement LearningQ-Learning	CodeCode Available	1
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning	Feb 15, 2021	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available	1
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing	Feb 15, 2021	Deep Reinforcement LearningMulti-agent Reinforcement Learning	CodeCode Available	1
Rethinking the Implementation Matters in Cooperative Multi-Agent Reinforcement Learning	Feb 6, 2021	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
Multi-Agent Reinforcement Learning with Temporal Logic Specifications	Feb 1, 2021	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers	Jan 20, 2021	Multi-agent Reinforcement Learningreinforcement-learning	CodeCode Available	1
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control	Jan 4, 2021	Deep Reinforcement LearningMeta-Learning	CodeCode Available	1
Multi-Agent Trust Region Learning	Jan 1, 2021	Atari GamesMuJoCo	CodeCode Available	1
Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Coordination by Multi-Critic Policy Gradient Optimization	Dec 31, 2020	Collision AvoidanceManagement	CodeCode Available	1
Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations	Dec 24, 2020	DecoderGraph Attention	CodeCode Available	1
CityLearn: Standardizing Research in Multi-Agent Reinforcement Learning for Demand Response and Urban Energy Management	Dec 18, 2020	energy managementManagement	CodeCode Available	1
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning	Dec 17, 2020	FairnessMulti-agent Reinforcement Learning	CodeCode Available	1

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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