Derivation Web

source_b8848b510cfd4e0b

by researka:v2 · 2026-06-13 13:50:00.887878+04:00

study,population,intervention_or_exposure,comparator,endpoint,effect,risk_of_bias,directness
FraudSentinel: Federated Multi-Agent Reinforcement Learning for Privacy-Preserving Cross-Marketplace Fraud Detection in Distributed E-Commerce Ecosystems,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
Auditing Multi-Agent LLM Reasoning Trees Outperforms Majority Vote and LLM-as-Judge,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
Digital twin-enhanced multi-agent reinforcement learning for distributed control of collaborative robotic arms in angle steel tower dismantling,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
Multi-Agent Reinforcement Learning for Dynamic and Resilient Healthcare Supply Chain Optimization,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
Risk-Aware Reinforcement Learning for Cooperative Autonomous Vehicle Coordination with Adaptive Risk Sensitivity and Multi-Agent Optimization,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
Many Hands Make Light Work: An LLM-based Multi-Agent System for Detecting Malicious PyPI Packages,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
Self-Healing Memory Architectures for Large Language Model-Based Multi-Agent Collaboration,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
Neurosymbolic Multi-Agent Large Language Model System Versus Specialist Physicians in COPD and Asthma Management: A Comparative Performance Evaluation Using Guideline-Based Clinical Vignettes,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
Causally-Guided Automated Feature Engineering with Multi-Agent Reinforcement Learning,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
MAS-FIRE: Fault Injection and Reliability Evaluation for LLM-Based Multi-Agent Systems,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
Who Deserves the Reward? SHARP: Shapley Credit-based Optimization for Multi-Agent System,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
Water-MAS: A multi-agent LLM framework with instruction-data decoupling for smart water management.,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
Do Mixed-Vendor Multi-Agent {LLM}s Improve Clinical Diagnosis?,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
Humanoid Five-Digit Robotic Grasping via Multi-Agent Reinforcement Learning With Potential-Guided Optimization and Weight Scheduling,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
Enhancing Military Situational Awareness Through Multimodal Multi-Agent AI Systems: A Comparative Study with Single-Agent Approach,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
Hierarchical Role-Based Multi-Agent Reinforcement Learning for UHF Radiation Source Localization with Heterogeneous UAV Swarms,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
LLM-Driven Multi-Agent Decision Systems with Reinforcement Learning-Based Adaptive Communication,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
Adaptive Policy Alignment for Multi-Agent Large Language Models via Reinforcement Learning in Dynamic Task Environments,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
Predictive Mamba-Enhanced Multi-Agent Reinforcement Learning Control for Virtual Coupling of High-Speed Trains,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
SAGE: A Compositional Multi-Agent LLM Framework with Pedagogical Reasoning for Structured Collaborative Problem Solving,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
Relaxed Monotonic QMIX (R-QMIX): A Regularized Value Factorization Approach to Decentralized Multi-Agent Reinforcement Learning,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
A graph attention network-based multi-agent reinforcement learning framework for robust detection of smart contract vulnerabilities.,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
AutoHMA-LLM: Efficient Task Coordination and Execution in Heterogeneous Multi-Agent Systems Using Hybrid Large Language Models,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
Enhancing geodatabases operability: advanced human-computer interaction through RAG and Multi-Agent Systems,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
Cooperative Multi-Agent Deep Reinforcement Learning for Dynamic Task Execution and Resource Allocation in Vehicular Edge Computing,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
Enhancing Clinical Decision-Making: Integrating Multi-Agent Systems with Ethical AI Governance,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
Multi-Agent Reinforcement Learning for Distributed Cooperative Vehicular Positioning,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
The Optimization Paradox in Clinical AI Multi-Agent Systems,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
"A Multi-Agent AI Framework for Agile Workflow Automation, Issue Resolution, and Developer Performance Evaluation",not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
Multi-Agent Reinforcement Learning assisted Trust-aware Cooperative Spectrum Sensing for Cognitive Radio Networks,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
Multi-Agent Systems for Collaborative and Proactive Fraud Prevention in Distributed AI-Driven Financial Platforms,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
RAG-Enhanced LLM and RL Scheduling: Optimizing a Multi-Agent Framework for Abnormal Futures Price Monitoring,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
DECENTRALIZED MULTI-AGENT REINFORCEMENT LEARNING ARCHITECTURE FOR RAILWAY TRACK DAMAGE DETECTION IN TRAIN-BASED MONITORING SYSTEMS,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
DeepBeam: A Multi-Agent Deep Reinforcement Learning Framework for Predictive mmWave Beam Management in Dynamic V2X Networks,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
"Transforming oncology clinical trial matching through multi-agent AI and an oncology-specific knowledge graph: A prospective evaluation in 3,800 patients.",not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
Optimizing Smart City Infrastructure Using 5G Edge AI with Adaptive Multi-Agent Reinforcement Learning,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
A Large Language Model-based Multi-Agent Framework for Automated Privacy Policy Analysis,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
Dynamic Sensitivity Filter Pruning using Multi-Agent Reinforcement Learning For DCNN's,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary
A Real-Time Cognitive Reasoning Architecture for Continual Learning and Decision Making in Autonomous Multi-Agent Systems,not extracted,not extracted,not extracted,not extracted,not extracted,not appraised in public sidecar,primary

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