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

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Showing 1251–1300 of 1718 papers

TitleStatusHype
Agent-Based Decentralized Energy Management of EV Charging Station with Solar Photovoltaics via Multi-Agent Reinforcement Learning—0
Agent-Centric Representations for Multi-Agent Reinforcement Learning—0
Agent Environment Cycle Games—0
AgentGraph: Towards Universal Dialogue Management with Structured Deep Reinforcement Learning—0
AgentMixer: Multi-Agent Correlated Policy Factorization—0
Agent-Temporal Credit Assignment for Optimal Policy Preservation in Sparse Multi-Agent Reinforcement Learning—0
AI Agent as Urban Planner: Steering Stakeholder Dynamics in Urban Planning via Consensus-based Multi-Agent Reinforcement Learning—0
Multi Agent Reinforcement Learning Trajectory Design and Two-Stage Resource Management in CoMP UAV VLC Networks—0
AI-Enabled Unmanned Vehicle-Assisted Reconfigurable Intelligent Surfaces: Deployment, Prototyping, Experiments, and Opportunities—0
AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network—0
AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning—0
Effective Communications: A Joint Learning and Communication Framework for Multi-Agent Reinforcement Learning over Noisy Channels—0
A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning—0
A Learning Framework For Cooperative Collision Avoidance of UAV Swarms Leveraging Domain Knowledge—0
Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory—0
A Local Information Aggregation based Multi-Agent Reinforcement Learning for Robot Swarm Dynamic Task Allocation—0
A MARL-based Approach for Easing MAS Organization Engineering—0
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem—0
MSPM: A Modularized and Scalable Multi-Agent Reinforcement Learning-based System for Financial Portfolio Management—0
A Multi-Agent Approach for REST API Testing with Semantic Graphs and LLM-Driven Inputs—0
A Multi-Agent Reinforcement Learning Framework for Evaluating the U.S. Ending the HIV Epidemic Plan—0
A Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning—0
A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue—0
A Multi-Agent Reinforcement Learning Method for Impression Allocation in Online Display Advertising—0
A Multi-Agent Reinforcement Learning Testbed for Cognitive Radio Applications—0
An Abstraction-based Method to Check Multi-Agent Deep Reinforcement-Learning Behaviors—0
An Algorithm For Adversary Aware Decentralized Networked MARL—0
Analysing Congestion Problems in Multi-agent Reinforcement Learning—0
An Analysis of Discretization Methods for Communication Learning with Multi-Agent Reinforcement Learning—0
An Analysis of Multi-Agent Reinforcement Learning for Decentralized Inventory Control Systems—0
An approach to implement Reinforcement Learning for Heterogeneous Vehicular Networks—0
An Efficient Distributed Multi-Agent Reinforcement Learning for EV Charging Network Control—0
A Neuro-Symbolic Approach to Multi-Agent RL for Interpretability and Probabilistic Decision Making—0
A New Framework for Multi-Agent Reinforcement Learning -- Centralized Training and Exploration with Decentralized Execution via Policy Distillation—0
A New Policy Iteration Algorithm For Reinforcement Learning in Zero-Sum Markov Games—0
Satisficing Paths and Independent Multi-Agent Reinforcement Learning in Stochastic Games—0
An In-Depth Analysis of Discretization Methods for Communication Learning using Backpropagation with Multi-Agent Reinforcement Learning—0
An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning—0
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility—0
An Offline Multi-Agent Reinforcement Learning Framework for Radio Resource Management—0
An Overview of Machine Learning-Enabled Optimization for Reconfigurable Intelligent Surfaces-Aided 6G Networks: From Reinforcement Learning to Large Language Models—0
Anytime-Constrained Equilibria in Polynomial Time—0
Anytime PSRO for Two-Player Zero-Sum Games—0
AoI-Aware Resource Allocation for Platoon-Based C-V2X Networks via Multi-Agent Multi-Task Reinforcement Learning—0
An Initial Introduction to Cooperative Multi-Agent Reinforcement Learning—0
Breaking the Curse of Dimensionality in Multiagent State Space: A Unified Agent Permutation Framework—0
Application of Multi-Agent Reinforcement Learning for Battery Management in Renewable Mini-Grids—0
Applications of Multi-Agent Reinforcement Learning in Future Internet: A Comprehensive Survey—0
Approximating Energy Market Clearing and Bidding With Model-Based Reinforcement Learning—0
A Principled Permutation Invariant Approach to Mean-Field Multi-Agent Reinforcement Learning—0
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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