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Recent advances in Reinforcement Learning (RL) combined with Deep Learning (DL) have demonstrated impressive performance in complex tasks, including autonomous driving.
The temporal logic of programs
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Efficient büchi automata from ltl formulae
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Nusmv 2: An opensource tool for symbolic model checking
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Maneuver-based trajectory planning for highly autonomous vehicles on real road with traffic and driver interaction
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Motion planning of autonomous vehicles in a non- autonomous vehicle environment without speed lanes
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Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions
Mohammed Q. Wen-Hua C. Lipika D. Christos K · 2015
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Ltsmin: High-performance language-independent model checking
Gijs Kant, Alfons Laarman, Jeroen Meijer, Jaco van de Pol, Stefan Blom, and Tom van Dijk · 2015
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End to end learning for self-driving cars
M. Bojarski, D. Testa, Daniel Dworakowski, Bernhard Firner, Beat Flepp, Prasoon Goyal, L. Jackel, M. Monfort, U. Muller, Jiakai Zhang, X. Zhang, Jake Zhao, and Karol Zieba · 2016
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Mastering the game of go with deep neural networks and tree search
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Asynchronous methods for deep reinforcement learning
Volodymyr Mnih, Adria Puigdomenech Badia, Mehdi Mirza, Alex Graves, Timothy Lillicrap, Tim Harley, David Silver, and Koray Kavukcuoglu · 2016
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Safe, multi-agent, reinforcement learning for autonomous driving
Shai Shalev-Shwartz, Shaked Shammah, and Amnon Shashua · 2016
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Hierarchical deep reinforcement learning: Integrating temporal abstraction and intrinsic motivation
Tejas D. Kulkarni, Karthik R. Narasimhan, Ardavan Saeedi, and Joshua B. Tenenbaum · 2016
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Concrete problems in ai safety
Dario Amodei, Chris Olah, J. Steinhardt, Paul F. Christiano, John Schulman, and Dan Mané · 2016
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A synthesis of automated planning and reinforcement learning for efficient, robust decision-making
Matteo Leonetti, Luca Iocchi, and Peter Stone · 2016
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Zero-shot deep reinforcement learning driving policy transfer for autonomous vehicles based on robust control
Z. Xu, C. Tang, and M. Tomizuka · 2018
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Peorl: Integrating symbolic planning and hierarchical reinforcement learning for robust decision-making
Fangkai Yang, Daoming Lyu, Bo Liu, and Steven Gustafson · 2018
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Towards automatic construction of diverse, high-quality image datasets
Yazhou Yao, Jian Zhang, Fumin Shen, Li Liu, Fan Zhu, Dongxiang Zhang, and Heng Tao Shen · 2019
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Learning to drive in a day
A. Kendall, J. Hawke, D. Janz, P. Mazur, D. Reda, J. Allen, V. Lam, A. Bewley, and A. Shah · 2019
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Attention-based hierarchical deep reinforcement learning for lane change behaviors in autonomous driving
Y. Chen, C. Dong, P. Palanisamy, P. Mudalige, K. Muelling, and J. M. Dolan · 2019
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On a Formal Model of Safe and Scalable Self-driving Cars
Shai Shalev-Shwartz, Shaked Shammah, and Amnon Shashua · 2017
Cited alongside, same era.
CARLA: An open urban driving simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
Cited alongside, same era.
End-to-end driving in a realistic racing game with deep reinforcement learning
E. Perot, M. Jaritz, M. Toromanoff, and R. De Charette · 2017
Cited alongside, same era.
Deep reinforcement learning framework for autonomous driving
Ahmad Sallab, Mohammed Abdou, Etienne Perot, and Senthil Yogamani · 2017
Cited alongside, same era.
Tactical decision making for lane changing with deep reinforcement learning
Mustafa Mukadam, Akansel Cosgun, Alireza Nakhaei, and Kikuo Fujimura · 2017
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Human-like autonomous vehicle speed control by deep reinforcement learning with double q-learning
Y. Zhang, P. Sun, Y. Yin, L. Lin, and X. Wang · 2018
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Nagini: A static verifier for python
Marco Eilers and Peter Müller · 2018
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SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning
Daoming Lyu, Fangkai Yang, Bo Liu, and Steven Gustafson · 2019
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Encoding and monitoring responsibility sensitive safety rules for automated vehicles in signal temporal logic
Mohammad Hekmatnejad, Shakiba Yaghoubi, Adel Dokhanchi, Heni Ben Amor, Aviral Shrivastava, Lina Karam, and Georgios Fainekos · 2019
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Pedestrian and cyclist detection and intent estimation for autonomous vehicles: A survey
Sarfraz Ahmed, M. Nazmul Huda, Sujan Rajbhandari, Chitta Saha, Mark Elshaw, and Stratis Kanarachos · 2019
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Deep Reinforcement Learning for Autonomous Driving: A Survey
B Ravi Kiran, Ibrahim Sobh, Victor Talpaert, Patrick Mannion, Ahmad A. Al Sallab, Senthil Yogamani, and Patrick Pérez · 2020
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Hierarchical reinforcement learning for self-driving decision-making without reliance on labelled driving data
Jingliang Duan, Shengbo Eben Li, Yang Guan, Qi Sun, and Bo Cheng · 2020
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Integrating deep reinforcement learning with model-based path planners for automated driving
Ekim Yurtsever, L. Capito, K. Redmill, and Ü. Özgüner · 2020
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Program guided agent
Shao-Hua Sun, Te-Lin Wu, and Joseph J. Lim · 2020
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Formalizing traffic rules for uncontrolled intersections
Abolfazl Karimi · 2020
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