Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control
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[1] Dean Pomerleau,et al. ALVINN, an autonomous land vehicle in a neural network , 2015 .
[2] Yann LeCun,et al. Off-Road Obstacle Avoidance through End-to-End Learning , 2005, NIPS.
[3] Sebastian Thrun,et al. Towards fully autonomous driving: Systems and algorithms , 2011, 2011 IEEE Intelligent Vehicles Symposium (IV).
[4] Rajesh Rajamani,et al. Vehicle dynamics and control , 2005 .
[5] Balaraman Ravindran,et al. EPOpt: Learning Robust Neural Network Policies Using Model Ensembles , 2016, ICLR.
[6] Yuval Tassa,et al. Continuous control with deep reinforcement learning , 2015, ICLR.
[7] Marcin Andrychowicz,et al. Sim-to-Real Transfer of Robotic Control with Dynamics Randomization , 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[8] Razvan Pascanu,et al. Progressive Neural Networks , 2016, ArXiv.
[9] Sergey Levine,et al. One-shot learning of manipulation skills with online dynamics adaptation and neural network priors , 2015, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[10] Silvio Savarese,et al. ADAPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems , 2017, ISRR.
[11] Wojciech Zaremba,et al. Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model , 2016, ArXiv.
[12] Masayoshi Tomizuka,et al. Control methodologies for precision positioning systems , 2013, 2013 American Control Conference.
[13] Alec Radford,et al. Proximal Policy Optimization Algorithms , 2017, ArXiv.
[14] Masayoshi Tomizuka,et al. Cascade Attribute Learning Network , 2017, ArXiv.
[15] 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).
[16] Xin Zhang,et al. End to End Learning for Self-Driving Cars , 2016, ArXiv.
[17] Greg Turk,et al. Preparing for the Unknown: Learning a Universal Policy with Online System Identification , 2017, Robotics: Science and Systems.
[18] Emilio Frazzoli,et al. A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles , 2016, IEEE Transactions on Intelligent Vehicles.
[19] Steffen Müller,et al. Lateral trajectory tracking control for autonomous vehicles , 2014, 2014 European Control Conference (ECC).
[20] Alex Graves,et al. Asynchronous Methods for Deep Reinforcement Learning , 2016, ICML.
[21] Etienne Perot,et al. End-to-End Deep Reinforcement Learning for Lane Keeping Assist , 2016, ArXiv.
[22] Lei Guo,et al. Disturbance-Observer-Based Control and Related Methods—An Overview , 2016, IEEE Transactions on Industrial Electronics.