5 citations · 7 across the 2 of their papers we have counts for
3 papers
cs.AI2020
Driving Tasks Transfer in Deep Reinforcement Learning for Decision-making of Autonomous Vehicles
Hong Shu, Teng Liu, Xingyu Mu +1
Knowledge transfer is a promising concept to achieve real-time decision-making for autonomous vehicles. This paper constructs a transfer deep reinforcement learning framework to tr…
eess.SP2020★ 5 cited
Decision-making Strategy on Highway for Autonomous Vehicles using Deep Reinforcement Learning
Jiangdong Liao, Teng Liu, Xiaolin Tang +3
Autonomous driving is a promising technology to reduce traffic accidents and improve driving efficiency. In this work, a deep reinforcement learning (DRL)-enabled decision-making p…
cs.AI2020★ 2 cited
Dueling Deep Q Network for Highway Decision Making in Autonomous Vehicles: A Case Study
Teng Liu, Xingyu Mu, Xiaolin Tang +3
This work optimizes the highway decision making strategy of autonomous vehicles by using deep reinforcement learning (DRL). First, the highway driving environment is built, wherein…