Multi-Reward Architecture based Reinforcement Learning for Highway Driving Policies-Reference-Cited by-同舟云学术

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Multi-Reward Architecture based Reinforcement Learning for Highway Driving Policies

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE Intelligent Transportation Systems Conference (ITSC)
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Author:

Yuan Wei,Yang Ming,He Yuesheng,Wang Chunxiang,Wang Bing

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8907344/8916833/08917304.pdf?arnumber=8917304

Cited by 15 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. Time-Varying Weights in Multi-Reward Architecture for Deep Reinforcement Learning;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-04

2. Human-Like Decision Making and Planning for Autonomous Driving with Reinforcement Learning;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24

3. Multi-Skill Policy Transfer by Option-based Deep Reinforcement Learning for Autonomous Driving;2023 9th International Conference on Big Data Computing and Communications (BigCom);2023-08-04

4. Reinforcement Learning for Reducing the Interruptions and Increasing Fault Tolerance in the Cloud Environment;Informatics;2023-08-02

5. Autonomous vehicular overtaking maneuver: A survey and taxonomy;Vehicular Communications;2023-08

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