activity
20192021
most citedA Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles

6 citations · 6 across the 2 of their papers we have counts for

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Showing cs.LGShow all

2 papers · 1 filter

cs.LG2020

Meta Reinforcement Learning-Based Lane Change Strategy for Autonomous Vehicles

Fei Ye, Pin Wang, Ching-Yao Chan +1

Recent advances in supervised learning and reinforcement learning have provided new opportunities to apply related methodologies to automated driving. However, there are still chal…

cs.LG2020

Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning

Fei Ye, Xuxin Cheng, Pin Wang +2

Lane-change maneuvers are commonly executed by drivers to follow a certain routing plan, overtake a slower vehicle, adapt to a merging lane ahead, etc. However, improper lane chang…