An End-to-End Curriculum Learning Approach for Autonomous Driving Scenarios-Reference-Cited by-同舟云学术

An End-to-End Curriculum Learning Approach for Autonomous Driving Scenarios

Published:2022-10 Issue:10 Volume:23 Page:19817-19826
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Anzalone Luca¹^ORCID,Barra Paola²^ORCID,Barra Silvio³^ORCID,Castiglione Aniello⁴^ORCID,Nappi Michele⁵^ORCID

Affiliation:

1. Department of Physics and Astronomy (DIFA), University of Bologna, Bologna, Italy

2. Department of Computer Science, Sapienza University of Rome, Rome, Italy

3. Department of Electrical and Information Technology Engineering (DIETI), University of Naples “Federico II”, Naples, Italy

4. Department of Science and Technology (DIST), University of Naples “Parthenope”, Naples, Italy

5. Department of Computer Science, University of Salerno, Salerno, Italy

Funder

PRIN 2017 PREVUE: “PRediction of activities and Events by Vision in an Urban Environment,” through the Italian Ministry of Education, University and Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/9916643/09782734.pdf?arnumber=9782734

Reference45 articles.

1. On Offline Evaluation of Vision-Based Driving Models

2. Playing atari with deep reinforcement learning;mnih;arXiv 1312 5602,2013

3. Simple statistical gradient-following algorithms for connectionist reinforcement learning

4. Improving stochastic policy gradients in continuous control with deep reinforcement learning using the beta distribution;chou;Proc Int Conf Mach Learn,2017

Cited by 23 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. Fine-grained recognition via submodular optimization regulated progressive training;Pattern Recognition;2024-12

2. Curriculum Reinforcement Learning for Autonomous Planning in Unprotected Left Turn Scenarios;Unmanned Systems;2024-07-20

3. PTCC: A Privacy-Preserving and Trajectory Clustering-Based Approach for Cooperative Caching Optimization in Vehicular Networks;IEEE Transactions on Sustainable Computing;2024-07

4. Comprehensive Review of Drones Collision Avoidance Schemes: Challenges and Open Issues;IEEE Transactions on Intelligent Transportation Systems;2024-07

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