214 citations · 288 across the 9 of their papers we have counts for
9 papers
Multi-Agent Reinforcement Learning for V2X Resource Allocation: Disentangling MARL Challenges Through Benchmarking
Siyuan Wang, Lei Lei, Pranav Maheshwari +2
Radio resource allocation (RRA) is a critical function in cellular vehicle-to-everything (C-V2X) networks, where vehicles must share limited wireless resources to support safety-cr…
Learning Value of Information towards Joint Communication and Control in 6G V2X
Lei Lei, Kan Zheng, Xuemin +1
As Cellular Vehicle-to-Everything (C-V2X) evolves towards future sixth-generation (6G) networks, Connected Autonomous Vehicles (CAVs) are emerging to become a key application. Leve…
Multi-Timescale Control and Communications with Deep Reinforcement Learning -- Part I: Communication-Aware Vehicle Control
Tong Liu, Lei Lei, Kan Zheng +2
An intelligent decision-making system enabled by Vehicle-to-Everything (V2X) communications is essential to achieve safe and efficient autonomous driving (AD), where two types of d…
Multi-Timescale Control and Communications with Deep Reinforcement Learning -- Part II: Control-Aware Radio Resource Allocation
Lei Lei, Tong Liu, Kan Zheng +2
In Part I of this two-part paper (Multi-Timescale Control and Communications with Deep Reinforcement Learning -- Part I: Communication-Aware Vehicle Control), we decomposed the mul…
Optimal Scheduling in IoT-Driven Smart Isolated Microgrids Based on Deep Reinforcement Learning
Jiaju Qi, Lei Lei, Kan Zheng +3
In this paper, we investigate the scheduling issue of diesel generators (DGs) in an Internet of Things (IoT)-Driven isolated microgrid (MG) by deep reinforcement learning (DRL). Th…
Autonomous Platoon Control with Integrated Deep Reinforcement Learning and Dynamic Programming
Tong Liu, Lei Lei, Kan Zheng +1
Deep Reinforcement Learning (DRL) is regarded as a potential method for car-following control and has been mostly studied to support a single following vehicle. However, it is more…
Joint Energy Dispatch and Unit Commitment in Microgrids Based on Deep Reinforcement Learning
Jiaju Qi, Lei Lei, Kan Zheng +1
Nowadays, the application of microgrids (MG) with renewable energy is becoming more and more extensive, which creates a strong need for dynamic energy management. In this paper, de…
Deep Reinforcement Learning Aided Platoon Control Relying on V2X Information
Lei Lei, Tong Liu, Kan Zheng +1
The impact of Vehicle-to-Everything (V2X) communications on platoon control performance is investigated. Platoon control is essentially a sequential stochastic decision problem (SS…
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges
Jiaju Qi, Qihao Zhou, Lei Lei +1
This paper presents a comprehensive survey of Federated Reinforcement Learning (FRL), an emerging and promising field in Reinforcement Learning (RL). Starting with a tutorial of Fe…