Stabilization Approaches for Reinforcement Learning-Based End-to-End Autonomous Driving

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2020.2979493 ◽

2020 ◽

Vol 69 (5) ◽

pp. 4740-4750 ◽

Author(s):

Siyuan Chen ◽

Meiling Wang ◽

Wenjie Song ◽

Yi Yang ◽

Yujun Li ◽

...

Keyword(s):

Reinforcement Learning ◽

Autonomous Driving ◽

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Interpretable End-to-End Urban Autonomous Driving With Latent Deep Reinforcement Learning

IEEE Transactions on Intelligent Transportation Systems ◽

10.1109/tits.2020.3046646 ◽

2021 ◽

pp. 1-11

Author(s):

Jianyu Chen ◽

Shengbo Eben Li ◽

Masayoshi Tomizuka

Keyword(s):

Reinforcement Learning ◽

Autonomous Driving ◽

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Digital Twin-enabled Reinforcement Learning for End-to-end Autonomous Driving

10.1109/dtpi52967.2021.9540179 ◽

2021 ◽

Author(s):

Jingda Wu ◽

Zhiyu Huang ◽

Peng Hang ◽

Chao Huang ◽

Niels De Boer ◽

...

Keyword(s):

Reinforcement Learning ◽

Autonomous Driving ◽

Digital Twin ◽

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End-to-End Autonomous Driving Decision Based on Deep Reinforcement Learning

2019 5th International Conference on Control, Automation and Robotics (ICCAR) ◽

10.1109/iccar.2019.8813431 ◽

2019 ◽

Author(s):

Zhiqing Huang ◽

Ji Zhang ◽

Rui Tian ◽

Yanxin Zhang

Keyword(s):

Reinforcement Learning ◽

Autonomous Driving ◽

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An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning

Proceedings of the 2019 International Conference on Management of Data - SIGMOD '19 ◽

10.1145/3299869.3300085 ◽

2019 ◽

Author(s):

Ji Zhang ◽

Yu Liu ◽

Ke Zhou ◽

Guoliang Li ◽

Zhili Xiao ◽

...

Keyword(s):

Reinforcement Learning ◽

Cloud Database ◽

Database Tuning

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Tactical Decision-Making in Autonomous Driving by Reinforcement Learning with Uncertainty Estimation

2020 IEEE Intelligent Vehicles Symposium (IV) ◽

10.1109/iv47402.2020.9304614 ◽

2020 ◽

Author(s):

Carl-Johan Hoel ◽

Krister Wolff ◽

Leo Laine

Keyword(s):

Decision Making ◽

Reinforcement Learning ◽

Autonomous Driving ◽

Uncertainty Estimation ◽

Tactical Decision

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PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving

2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ◽

10.1109/iros45743.2020.9340931 ◽

2020 ◽

Author(s):

Kuan-Hui Lee ◽

Matthew Kliemann ◽

Adrien Gaidon ◽

Jie Li ◽

Chao Fang ◽

...

Keyword(s):

Autonomous Driving ◽

Flow Estimation ◽

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A Reinforcement Learning Approach for Enacting Cautious Behaviours in Autonomous Driving System: Safe Speed Choice in the Interaction With Distracted Pedestrians

IEEE Transactions on Intelligent Transportation Systems ◽

10.1109/tits.2021.3086397 ◽

2021 ◽

pp. 1-18

Author(s):

Gastone Pietro Rosati Papini ◽

Alice Plebe ◽

Mauro Da Lio ◽

Riccardo Dona

Keyword(s):

Reinforcement Learning ◽

Autonomous Driving ◽

Learning Approach ◽

Driving System ◽

Autonomous Driving System

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Verifiably safe exploration for end-to-end reinforcement learning

Proceedings of the 24th International Conference on Hybrid Systems: Computation and Control ◽

10.1145/3447928.3456653 ◽

2021 ◽

Author(s):

Nathan Hunt ◽

Nathan Fulton ◽

Sara Magliacane ◽

Trong Nghia Hoang ◽

Subhro Das ◽

...

Keyword(s):

Reinforcement Learning ◽

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End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding

Proceedings of the 13th International Conference on Web Search and Data Mining ◽

10.1145/3336191.3371858 ◽

2020 ◽

Author(s):

Feng Liu ◽

Huifeng Guo ◽

Xutao Li ◽

Ruiming Tang ◽

Yunming Ye ◽

...

Keyword(s):

Reinforcement Learning ◽

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Time-to-Line Crossing Enhanced End-to-End Autonomous Driving Framework

2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) ◽

10.1109/itsc45102.2020.9294232 ◽

2020 ◽

Author(s):

Chanyoung Jung ◽

Hyunki Seong ◽

David Hyunchul Shim

Keyword(s):

Autonomous Driving ◽

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