Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety Cages
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[1] Philip Koopman,et al. Challenges in Autonomous Vehicle Testing and Validation , 2016 .
[2] Mayank Bansal,et al. ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst , 2018, Robotics: Science and Systems.
[3] Alexey Dosovitskiy,et al. End-to-End Driving Via Conditional Imitation Learning , 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[4] Jürgen Schmidhuber,et al. World Models , 2018, ArXiv.
[5] Dean Pomerleau,et al. ALVINN, an autonomous land vehicle in a neural network , 2015 .
[6] Antonio Bicchi,et al. On making robots understand safety: Embedding injury knowledge into control , 2012, Int. J. Robotics Res..
[7] Markus Borg,et al. Safely Entering the Deep: A Review of Verification and Validation for Machine Learning and a Challenge Elicitation in the Automotive Industry , 2018, Journal of Automotive Software Engineering.
[8] Chiman Kwan,et al. A neural network based approach to adaptive fault tolerant flight control , 2004, Proceedings of the 2004 IEEE International Symposium on Intelligent Control, 2004..
[9] Marcello Restelli,et al. Combining reinforcement learning with rule-based controllers for transparent and general decision-making in autonomous driving , 2020, Robotics Auton. Syst..
[10] Hermann Winner,et al. The New Role of Road Testing for the Safety Validation of Automated Vehicles , 2017 .
[11] Kush R. Varshney,et al. On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Products , 2016, Big Data.
[12] Xin Zhang,et al. End to End Learning for Self-Driving Cars , 2016, ArXiv.
[13] Richard Bowden,et al. Safe Deep Neural Network-Driven Autonomous Vehicles Using Software Safety Cages , 2019, IDEAL.
[14] Junjie Wang,et al. Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints , 2019, 2019 International Joint Conference on Neural Networks (IJCNN).
[15] Richard Bowden,et al. Training Adversarial Agents to Exploit Weaknesses in Deep Control Policies , 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).
[16] Charles Desjardins,et al. Cooperative Adaptive Cruise Control: A Reinforcement Learning Approach , 2011, IEEE Transactions on Intelligent Transportation Systems.
[17] Jingda Wu,et al. Battery-Involved Energy Management for Hybrid Electric Bus Based on Expert-Assistance Deep Deterministic Policy Gradient Algorithm , 2020, IEEE Transactions on Vehicular Technology.
[18] Patrik Feth,et al. Safety Engineering for Autonomous Vehicles , 2016, 2016 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshop (DSN-W).
[19] Lionel Lapierre,et al. Enhancing fault tolerance of autonomous mobile robots , 2015, Robotics Auton. Syst..
[20] R. Mazo. On the theory of brownian motion , 1973 .
[21] Eduardo F. Morales,et al. An Introduction to Reinforcement Learning , 2011 .
[22] Simon Burton,et al. Making the Case for Safety of Machine Learning in Highly Automated Driving , 2017, SAFECOMP Workshops.
[23] Daniel Görges,et al. Ecological Adaptive Cruise Control for Vehicles With Step-Gear Transmission Based on Reinforcement Learning , 2020, IEEE Transactions on Intelligent Transportation Systems.
[24] Luc Van Gool,et al. End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners , 2018, ECCV.
[25] Guy Lever,et al. Deterministic Policy Gradient Algorithms , 2014, ICML.
[26] Jingda Wu,et al. Battery Thermal- and Health-Constrained Energy Management for Hybrid Electric Bus Based on Soft Actor-Critic DRL Algorithm , 2021, IEEE Transactions on Industrial Informatics.
[27] Matthias Althoff,et al. Using online verification to prevent autonomous vehicles from causing accidents , 2020, Nature Machine Intelligence.
[28] Nidhi Kalra,et al. Driving to Safety , 2016 .
[29] Qichao Zhang,et al. Model-Free Optimal Control Based Intelligent Cruise Control with Hardware-in-the-Loop Demonstration [Research Frontier] , 2017, IEEE Computational Intelligence Magazine.
[30] Sören Hohmann,et al. Actor-Critic Reinforcement Learning for Linear Longitudinal Output Control of a Road Vehicle , 2019, 2019 IEEE Intelligent Transportation Systems Conference (ITSC).
[31] Masayoshi Tomizuka,et al. Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control , 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).
[32] Yuval Tassa,et al. Continuous control with deep reinforcement learning , 2015, ICLR.
[33] Geoffrey J. Gordon,et al. A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning , 2010, AISTATS.
[34] Richard Bowden,et al. A Survey of Deep Learning Applications to Autonomous Vehicle Control , 2019, IEEE Transactions on Intelligent Transportation Systems.
[35] Shuhei Yamashita,et al. Introduction of ISO 26262 'Road vehicles-Functional safety' , 2012 .
[36] Vladlen Koltun,et al. On Offline Evaluation of Vision-based Driving Models , 2018, ECCV.
[37] Yang Gao,et al. End-to-End Learning of Driving Models from Large-Scale Video Datasets , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[38] Sergey Levine,et al. Causal Confusion in Imitation Learning , 2019, NeurIPS.
[39] Mehrdad Dianati,et al. Towards connected autonomous driving: review of use-cases , 2018, Vehicle System Dynamics.
[40] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[41] Ruslan Salakhutdinov,et al. Weakly-Supervised Reinforcement Learning for Controllable Behavior , 2020, NeurIPS.
[42] Chung Choo Chung,et al. Autonomous braking system via deep reinforcement learning , 2017, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC).
[43] Alex Graves,et al. Asynchronous Methods for Deep Reinforcement Learning , 2016, ICML.
[44] Trevor Darrell,et al. Deep Object-Centric Policies for Autonomous Driving , 2018, 2019 International Conference on Robotics and Automation (ICRA).
[45] P. Pandurang Nayak,et al. Model Based Autonomy for Robust Mars Operations , 1998 .
[46] Alex Graves,et al. Playing Atari with Deep Reinforcement Learning , 2013, ArXiv.
[47] Saber Fallah,et al. End-to-end Reinforcement Learning for Autonomous Longitudinal Control Using Advantage Actor Critic with Temporal Context , 2019, 2019 IEEE Intelligent Transportation Systems Conference (ITSC).
[48] Jun Tan,et al. Parameterized Batch Reinforcement Learning for Longitudinal Control of Autonomous Land Vehicles , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[49] Byron Boots,et al. Agile Autonomous Driving using End-to-End Deep Imitation Learning , 2017, Robotics: Science and Systems.
[50] Victor Talpaert,et al. Deep Reinforcement Learning for Autonomous Driving: A Survey , 2020, IEEE Transactions on Intelligent Transportation Systems.
[51] Richard Bowden,et al. Deep Learning for Autonomous Vehicle Control: Algorithms, State-of-the-Art, and Future Prospects , 2019, Deep Learning for Autonomous Vehicle Control.
[52] Sebastian Thrun,et al. Toward robotic cars , 2010, CACM.
[53] Ilya Kolmanovsky,et al. Deep Reinforcement Learning with Enhanced Safety for Autonomous Highway Driving , 2020, 2020 IEEE Intelligent Vehicles Symposium (IV).
[54] Kyunghyun Cho,et al. Query-Efficient Imitation Learning for End-to-End Autonomous Driving , 2016, ArXiv.
[55] Azim Eskandarian,et al. Handbook of Intelligent Vehicles , 2012 .
[57] Francesco Flammini,et al. Software Verification and Validation of Safe Autonomous Cars: A Systematic Literature Review , 2021, IEEE Access.
[58] Eder Santana,et al. Exploring the Limitations of Behavior Cloning for Autonomous Driving , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[59] Frank Diermeyer,et al. Survey on Scenario-Based Safety Assessment of Automated Vehicles , 2020, IEEE Access.
[60] Chaoxian Wu,et al. Research Advances and Challenges of Autonomous and Connected Ground Vehicles , 2019, IEEE Transactions on Intelligent Transportation Systems.
[61] Martin Fränzle,et al. A Fail-safe Architecture for Automated Driving , 2020, 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE).
[62] Mykel J. Kochenderfer,et al. A Survey of Algorithms for Black-Box Safety Validation , 2020, J. Artif. Intell. Res..