← authors · overview

• Human-In-The-Loop Machine Learning for Safe and Ethical Autonomous Vehicles: Principles, Challenges, and Opportunities
  2024 · 4 citations
• Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT
  2021 · 1 citations
• Quantum Multi-Agent Reinforcement Learning for Cooperative Mobile Access in Space-Air-Ground Integrated Networks
  2024 · 1 citations
• Age of Information Minimization in UAV-Enabled Integrated Sensing and Communication Systems
  2025
• LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach
  2025
• Deep Reinforcement Learning for Traffic Light Control in Vehicular Networks
  2018
• Risk-Aware Energy Scheduling for Edge Computing with Microgrid: A Multi-Agent Deep Reinforcement Learning Approach
  2020
• Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach
  2020
• Achieving Correlated Equilibrium by Studying Opponent's Behavior Through Policy-Based Deep Reinforcement Learning