SOTAVerified

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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1401–1450 of 1718 papers

TitleStatusHype
Graph Convolutional Value Decomposition in Multi-Agent Reinforcement LearningCode1
Heterogeneous Multi-Agent Reinforcement Learning for Unknown Environment Mapping—0
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning—0
A Sharp Analysis of Model-based Reinforcement Learning with Self-Play—0
Correcting Experience Replay for Multi-Agent Communication—0
Emergent Social Learning via Multi-agent Reinforcement Learning—0
PettingZoo: Gym for Multi-Agent Reinforcement LearningCode2
Towards Understanding Linear Value Decomposition in Cooperative Multi-Agent Q-Learning—0
The Emergence of Individuality in Multi-Agent Reinforcement Learning—0
Towards Heterogeneous Multi-Agent Reinforcement Learning with Graph Neural Networks—0
Agent Environment Cycle Games—0
Ultra-dense Low Data Rate (UDLD) Communication in the THz—0
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control—0
Multi-agent reinforcement learning algorithm to solve a partially-observable multi-agent problem in disaster response—0
Energy-based Surprise Minimization for Multi-Agent Value FactorizationCode1
Multi-Agent Reinforcement Learning in Cournot Games—0
Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games—0
QR-MIX: Distributional Value Function Factorisation for Cooperative Multi-Agent Reinforcement Learning—0
Cross-layer Band Selection and Routing Design for Diverse Band-aware DSA Networks—0
PAC Reinforcement Learning Algorithm for General-Sum Markov Games—0
Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation—0
Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication—0
BGC: Multi-Agent Group Belief with Graph Clustering—0
Optimal control towards sustainable wastewater treatment plants based on multi-agent reinforcement learningCode1
Towards Closing the Sim-to-Real Gap in Collaborative Multi-Robot Deep Reinforcement LearningCode0
On the Convergence of Consensus Algorithms with Markovian Noise and Gradient Bias—0
Communicative Reinforcement Learning Agents for Landmark Detection in Brain ImagesCode1
The reinforcement learning-based multi-agent cooperative approach for the adaptive speed regulation on a metallurgical pickling line—0
REMAX: Relational Representation for Multi-Agent Exploration—0
Distributed Deep Reinforcement Learning for Functional Split Control in Energy Harvesting Virtualized Small Cells—0
The Emergence of Adversarial Communication in Multi-Agent Reinforcement LearningCode1
Deep Q-Network Based Multi-agent Reinforcement Learning with Binary Action Agents—0
QPLEX: Duplex Dueling Multi-Agent Q-LearningCode1
Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound—0
Compare and Select: Video Summarization with Multi-Agent Reinforcement Learning—0
Multi-Step Reinforcement Learning for Single Image Super-ResolutionCode1
Value-Decomposition Multi-Agent Actor-CriticsCode1
Off-Policy Multi-Agent Decomposed Policy GradientsCode1
Multi-agent Reinforcement Learning in Bayesian Stackelberg Markov Games for Adaptive Moving Target Defense—0
Battlesnake Challenge: A Multi-agent Reinforcement Learning Playground with Human-in-the-loopCode1
Reinforcement Communication Learning in Different Social Network StructuresCode0
MAPS: Multi-agent Reinforcement Learning-based Portfolio Management System—0
Curriculum learning for multilevel budgeted combinatorial problemsCode0
Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks—0
Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement LearningCode1
Reward Machines for Cooperative Multi-Agent Reinforcement LearningCode1
Decentralized Deep Reinforcement Learning for Network Level Traffic Signal Control—0
R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games—0
Online Multi-agent Reinforcement Learning for Decentralized Inverter-based Volt-VAR Control—0
QTRAN++: Improved Value Transformation for Cooperative Multi-Agent Reinforcement Learning—0
Show:102550
← PrevPage 29 of 35Next →
All datasetsParticleEnvs Cooperative CommunicationSMAC-ExpUAV Logistics

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MATD3final agent reward-14—Unverified
#ModelMetricClaimedVerifiedStatus
1DRIMAMedian Win Rate15—Unverified
#ModelMetricClaimedVerifiedStatus
1Fusion-Multi-Actor-Attention-CriticAverage Reward39—Unverified