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

Showing 201250 of 1718 papers

TitleStatusHype
PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape EstimationCode1
Fully Decentralized Multi-Agent Reinforcement Learning with Networked AgentsCode1
PyTAG: Tabletop Games for Multi-Agent Reinforcement LearningCode1
PyTSC: A Unified Platform for Multi-Agent Reinforcement Learning in Traffic Signal ControlCode1
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement LearningCode1
Formal Contracts Mitigate Social Dilemmas in Multi-Agent RLCode1
A coevolutionary approach to deep multi-agent reinforcement learningCode1
Group-Aware Coordination Graph for Multi-Agent Reinforcement LearningCode1
Mava: a research library for distributed multi-agent reinforcement learning in JAXCode1
Learning to Share in Multi-Agent Reinforcement LearningCode1
Hierarchical Multi-Agent Reinforcement Learning for Air Combat ManeuveringCode1
Regularized Softmax Deep Multi-Agent Q-LearningCode1
Learning to Model Opponent LearningCode1
Learning to Simulate Self-Driven Particles System with Coordinated Policy OptimizationCode1
An Empirical Study on Google Research Football Multi-agent ScenariosCode1
HyperMARL: Adaptive Hypernetworks for Multi-Agent RLCode1
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement LearningCode1
CAMP: Collaborative Attention Model with Profiles for Vehicle Routing ProblemsCode1
Learning to Cooperate with Humans using Generative AgentsCode1
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal ControlCode1
E(3)-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement LearningCode1
Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language ModelsCode1
Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized IntersectionsCode1
InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemmaCode1
Inequity aversion improves cooperation in intertemporal social dilemmasCode1
Information Design in Multi-Agent Reinforcement LearningCode1
An Extended Benchmarking of Multi-Agent Reinforcement Learning Algorithms in Complex Fully Cooperative TasksCode1
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement LearningCode1
Learning Zero-Shot Cooperation with Humans, Assuming Humans Are BiasedCode1
Celebrating Diversity in Shared Multi-Agent Reinforcement LearningCode1
iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement LearningCode1
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?Code1
Scalable Reinforcement Learning Policies for Multi-Agent ControlCode1
Scalable Safe Multi-Agent Reinforcement Learning for Multi-Agent SystemCode1
Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?Code1
Is Machine Learning Ready for Traffic Engineering Optimization?Code1
CoLight: Learning Network-level Cooperation for Traffic Signal ControlCode1
JaxRobotarium: Training and Deploying Multi-Robot Policies in 10 MinutesCode1
A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal ControlCode1
Laser Learning Environment: A new environment for coordination-critical multi-agent tasksCode1
Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language ModelsCode1
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement LearningCode1
Collaborating with Humans without Human DataCode1
Learning a Decentralized Multi-arm Motion PlannerCode1
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team CompositionCode1
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learningCode1
A Game-Theoretic Approach to Multi-Agent Trust Region OptimizationCode1
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement LearningCode1
A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics NetworkCode1
Collaborative Visual NavigationCode1
Show:102550
← PrevPage 5 of 35Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MATD3final agent reward-14Unverified
#ModelMetricClaimedVerifiedStatus
1DRIMAMedian Win Rate15Unverified
#ModelMetricClaimedVerifiedStatus
1Fusion-Multi-Actor-Attention-CriticAverage Reward39Unverified