Lane-changing decision method based Nash Q-learning with considering the interaction of surrounding vehicles

IET Intelligent Transport Systems ◽

10.1049/iet-its.2020.0427 ◽

2021 ◽

Author(s):

Xiaochuan Zhou ◽

Dengming Kuang ◽

Wanzhong Zhao ◽

Can Xu ◽

Jian Feng ◽

...

Keyword(s):

Lane Changing ◽

Decision Method

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An Intelligent Lane Changing Decision Method for Connected Vehicles

10.1145/3487075.3487175 ◽

2021 ◽

Author(s):

Zheyu Cui ◽

Jianming Hu

Keyword(s):

Connected Vehicles ◽

Lane Changing ◽

Decision Method

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A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward

2020 IEEE Intelligent Vehicles Symposium (IV) ◽

10.1109/iv47402.2020.9304594 ◽

2020 ◽

Author(s):

Ugur Yavas ◽

Tufan Kumbasar ◽

Nazim Kemal Ure

Keyword(s):

Decision Making ◽

Lane Changing ◽

New Approach ◽

Tactical Decision

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Calibration of Mandatory Lane Changing Model Based on Close-Range Photogrammetry

International Conference on Transportation Engineering 2009 ◽

10.1061/41039(345)726 ◽

2009 ◽

Author(s):

He Wu ◽

Chuncheng Feng

Keyword(s):

Lane Changing ◽

Close Range Photogrammetry ◽

Model Based ◽

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Study on the Mode of Lane Changing for Turning in Urban Road

10.1061/9780784481523.257 ◽

2018 ◽

Author(s):

Shiqiang Cheng ◽

Liyang Wei ◽

Xuelan Ma ◽

Jianfeng Shen ◽

Jian Wang

Keyword(s):

Lane Changing ◽

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A Collaborative Scheduling Lane Changing Model for Intelligent Connected Vehicles Based on Deep Reinforcement Learning

10.1061/9780784483053.178 ◽

2020 ◽

Author(s):

Zheyu Cui ◽

Jianming Hu

Keyword(s):

Reinforcement Learning ◽

Connected Vehicles ◽

Lane Changing ◽

Collaborative Scheduling

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Multiple Symbol Differential Detection with Majority Decision Method for DQPSK in LOS Channel

IEICE Transactions on Communications ◽

10.1587/transcom.e96.b.384 ◽

2013 ◽

Vol E96.B (1) ◽

pp. 384-388

Author(s):

Hiroyasu ISHIKAWA ◽

Hideyuki SHINONAGA

Keyword(s):

Differential Detection ◽

Decision Method ◽

Majority Decision

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Q-learning based Service Function Chaining using VNF Resource-aware Reward Model

2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS) ◽

10.23919/apnoms50412.2020.9236975 ◽

2020 ◽

Author(s):

Doyoung Lee ◽

Jae-Hyoung Yoo ◽

James Won-Ki Hong

Keyword(s):

Service Function ◽

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Q-learning Based Radio Channels Utility Evaluation Algorithm for the Local Dynamic Spectrum Management in Mobile Ad-hoc Networks

2020 Baltic URSI Symposium (URSI) ◽

10.23919/ursi48707.2020.9254037 ◽

2020 ◽

Author(s):

Krzysztof Malon ◽

Jerzy Lopatka ◽

Pawel Skokowski

Keyword(s):

Ad Hoc ◽

Spectrum Management ◽

Dynamic Spectrum ◽

Local Dynamic ◽

Dynamic Spectrum Management ◽

Evaluation Algorithm ◽

Utility Evaluation ◽

Mobile Ad Hoc ◽

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Prioritized epoch-incremental Q-learning algorithm

Theoretical and Applied Informatics ◽

10.2478/v10179-012-0008-1 ◽

2012 ◽

Vol 24 (2) ◽

Author(s):

Roman Zajdel

Keyword(s):

Learning Algorithm ◽

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Applying Q-Learning in intrusion policy prediction based on preferences on advanced persistent threats

Advances in Management Engineering and Information Technology ◽

10.2495/ameit140841 ◽

2015 ◽

Author(s):

S.H. Chien ◽

C.S. Ho ◽

C.H. Chen

Keyword(s):

Advanced Persistent Threats

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