Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles

26 December 2021

Papers citing "Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles"

25 / 25 papers shown

Title
Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks Hankyul Baek Won Joon Yun Yunseok Kwak Soyi Jung Mingyue Ji M. Bennis Jihong Park Joongheon Kim FedML 86 22 0 05 Dec 2021
Adversarial Imitation Learning via Random Search in Lane Change Decision-Making Myungjae Shin Joongheon Kim 21 3 0 11 Sep 2021
Adversarial Imitation Learning via Random Search Myungjae Shin Joongheon Kim 29 11 0 21 Aug 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 50 161 0 06 Aug 2020
A Survey of Deep Learning Applications to Autonomous Vehicle Control Sampo Kuutti Richard Bowden Yaochu Jin P. Barber Saber Fallah 82 515 0 23 Dec 2019
Randomized Adversarial Imitation Learning for Autonomous Driving Myungjae Shin Joongheon Kim 46 25 0 13 May 2019
Markov Decision Policies for Dynamic Video Delivery in Wireless Caching Networks Minseok Choi Albert No Mingyue Ji Joongheon Kim 23 50 0 28 Feb 2019
Generative Adversarial Self-Imitation Learning Yijie Guo Junhyuk Oh Satinder Singh Honglak Lee GAN 58 58 0 03 Dec 2018
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning Ilya Kostrikov Kumar Krishna Agrawal Debidatta Dwibedi Sergey Levine Jonathan Tompson 76 257 0 09 Sep 2018
Simple random search provides a competitive approach to reinforcement learning Horia Mania Aurelia Guy Benjamin Recht 56 315 0 19 Mar 2018
Automated Speed and Lane Change Decision Making using Deep Reinforcement Learning C. Hoel Krister Wolff L. Laine 38 175 0 14 Mar 2018
OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning Peter Henderson Wei-Di Chang Pierre-Luc Bacon David Meger Joelle Pineau Doina Precup GAN 47 73 0 20 Sep 2017
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 114 1,940 0 19 Sep 2017
Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control Riashat Islam Peter Henderson Maziar Gomrokchi Doina Precup BDL OffRL 48 251 0 10 Aug 2017
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning Anusha Nagabandi G. Kahn R. Fearing Sergey Levine 83 967 0 08 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 285 18,685 0 20 Jul 2017
Virtual to Real Reinforcement Learning for Autonomous Driving Xinlei Pan Yurong You Ziyan Wang Cewu Lu OffRL 56 336 0 13 Apr 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning Tim Salimans Jonathan Ho Xi Chen Szymon Sidor Ilya Sutskever 86 1,523 0 10 Mar 2017
Towards Generalization and Simplicity in Continuous Control Aravind Rajeswaran Kendall Lowrey E. Todorov Sham Kakade OffRL 84 276 0 08 Mar 2017
End-to-End Deep Reinforcement Learning for Lane Keeping Assist Ahmad El-Sallab Mohammed Abdou E. Perot S. Yogamani 34 176 0 13 Dec 2016
Least Squares Generative Adversarial Networks Xudong Mao Qing Li Haoran Xie Raymond Y. K. Lau Zhen Wang Stephen Paul Smolley GAN 290 4,554 0 13 Nov 2016
A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models Chelsea Finn Paul Christiano Pieter Abbeel Sergey Levine OffRL AI4CE GAN 53 353 0 11 Nov 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 121 3,089 0 10 Jun 2016
Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization Chelsea Finn Sergey Levine Pieter Abbeel 100 946 0 01 Mar 2016
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 254 6,722 0 19 Feb 2015