most citedDecision-making Strategy on Highway for Autonomous Vehicles using Deep Reinforcement Learning

5 citations · 8 across the 3 of their papers we have counts for

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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…

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…