1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Demonstration-guided Deep Reinforcement Learning for Coordinated Ramp Metering and Perimeter Control in Large Scale Networks
Zijian Hu, Wei Ma
Effective traffic control methods have great potential in alleviating network congestion. Existing literature generally focuses on a single control approach, while few studies have…
cs.AI2022★ 1 cited
Asynchronous Curriculum Experience Replay: A Deep Reinforcement Learning Approach for UAV Autonomous Motion Control in Unknown Dynamic Environments
Zijian Hu, Xiaoguang Gao, Kaifang Wan +2
Unmanned aerial vehicles (UAVs) have been widely used in military warfare. In this paper, we formulate the autonomous motion control (AMC) problem as a Markov decision process (MDP…
cs.MA2021
Towards a Very Large Scale Traffic Simulator for Multi-Agent Reinforcement Learning Testbeds
Zijian Hu, Chengxiang Zhuge, Wei Ma
Smart traffic control and management become an emerging application for Deep Reinforcement Learning (DRL) to solve traffic congestion problems in urban networks. Different traffic…