Toward Human-in-the-Loop AI: Enhancing Deep Reinforcement Learning via Real-Time Human Guidance for Autonomous Driving-Reference-Cited by-同舟云学术

Toward Human-in-the-Loop AI: Enhancing Deep Reinforcement Learning via Real-Time Human Guidance for Autonomous Driving

Published:2023-02 Issue: Volume:21 Page:75-91
ISSN:2095-8099
Container-title:Engineering
language:en
Short-container-title:Engineering

Author:

Wu Jingda,Huang Zhiyu,Hu Zhongxu,Lv Chen

Funder

Agency for Science, Technology and Research

Nanyang Technological University

Publisher

Elsevier BV

Subject

General Engineering,Energy Engineering and Power Technology,Materials Science (miscellaneous),General Chemical Engineering,Environmental Engineering,General Computer Science

Reference40 articles.

1. Self-driving cars will take a while to get right;Stilgoe;Nat Mach Intell,2019

2. Mo X, Huang Z, Xing Y, Lv C. Multi-agent trajectory prediction with heterogeneous edge-enhanced graph attention network. IEEE Trans Intell Transp Syst. In press.

3. Huang Z, Wu J, Lv C. Efficient deep reinforcement learning with imitative expert priors for autonomous driving. IEEE Trans Neural Netw Learn Syst. In press.

4. Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment;Feng;Nat Commun,2021

5. End-to-end driving via conditional imitation learning;Codevilla,2018

Cited by 62 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Human as AI mentor: Enhanced human-in-the-loop reinforcement learning for safe and efficient autonomous driving;Communications in Transportation Research;2024-12

2. Ensembled Traffic-Aware Transformer-Based Predictive Energy Management for Electrified Vehicles;IEEE Transactions on Intelligent Transportation Systems;2024-09

3. Design and application of deep reinforcement learning algorithms based on unbiased exploration strategies for value functions;Measurement: Sensors;2024-08

4. Shared learning of powertrain control policies for vehicle fleets;Applied Energy;2024-07

5. Recent advances in reinforcement learning-based autonomous driving behavior planning: A survey;Transportation Research Part C: Emerging Technologies;2024-07