Zero-shot Deep Reinforcement Learning Driving Policy Transfer for
Autonomous Vehicles based on Robust Control

Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control

7 December 2018

Chen Tang

Papers citing "Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control"

18 / 18 papers shown

Title
Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs Hao-Tien Lewis Chiang Zhuo Xu Zipeng Fu M. Jacob Tingnan Zhang ... Carolina Parada Chelsea Finn Peng Xu Sergey Levine Jie Tan LM&Ro 40 20 0 10 Jul 2024
SURE-Val: Safe Urban Relevance Extension and Validation Kai Storms Kent Mori S. Peters 17 3 0 04 Aug 2023
Experience Filter: Using Past Experiences on Unseen Tasks or Environments Anil Yildiz Esen Yel Anthony Corso K. H. Wray Stefan J. Witwicki Mykel J. Kochenderfer OffRL 19 0 0 29 May 2023
Online Learning Based Mobile Robot Controller Adaptation for Slip Reduction Huidong Gao Rui Zhou M. Tomizuka Zhuo Xu 8 1 0 30 Jan 2023
Outracing Human Racers with Model-based Planning and Control for Time-trial Racing Ce Hao Chen Tang Eric Bergkvist Catherine Weaver Liting Sun Wei Zhan M. Tomizuka 21 2 0 17 Nov 2022
History Encoding Representation Design for Human Intention Inference Zhuo Xu M. Tomizuka AI4CE 17 1 0 04 Jun 2021
Hierarchical Program-Triggered Reinforcement Learning Agents For Automated Driving Briti Gangopadhyay Harshit Soora P. Dasgupta 11 34 0 25 Mar 2021
Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety Cages Sampo Kuutti Richard Bowden Saber Fallah 33 14 0 17 Mar 2021
Error-Aware Policy Learning: Zero-Shot Generalization in Partially Observable Dynamic Environments Visak C. V. Kumar Sehoon Ha Karen Liu 17 2 0 13 Mar 2021
COCOI: Contact-aware Online Context Inference for Generalizable Non-planar Pushing Zhuo Xu Wenhao Yu Alexander Herzog Wenlong Lu Chuyuan Fu M. Tomizuka Yunfei Bai C. Karen Liu Daniel Ho OffRL 8 17 0 23 Nov 2020
Deep Reinforcement Learning and Transportation Research: A Comprehensive Review Nahid Parvez Farazi T. Ahamed Limon Barua Bo Zou AI4TS 19 18 0 13 Oct 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies Yu Huang Yue Chen 3DPC 43 82 0 10 Jun 2020
Cascade Attribute Network: Decomposing Reinforcement Learning Control Policies using Hierarchical Neural Networks Haonan Chang Zhuo Xu M. Tomizuka 9 7 0 07 May 2020
Guided Policy Search Model-based Reinforcement Learning for Urban Autonomous Driving Zhuo Xu Jianyu Chen M. Tomizuka 9 12 0 06 May 2020
Generalized Reinforcement Meta Learning for Few-Shot Optimization R. Anantha S. Pulman Srinivas Chappidi OffRL 4 2 0 04 May 2020
Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning Fei Ye Xuxin Cheng Pin Wang Ching-yao Chan Jiucai Zhang 13 98 0 07 Feb 2020
An Online Reinforcement Learning Approach to Quality-Cost-Aware Task Allocation for Multi-Attribute Social Sensing Yang Zhang D. Zhang Nathan Vance Dong Wang 11 5 0 11 Sep 2019
Simulation to Scaled City: Zero-Shot Policy Transfer for Traffic Control via Autonomous Vehicles Kathy Jang Eugene Vinitsky Behdad Chalaki Ben Remer Logan E. Beaver Andreas A. Malikopoulos Alexandre M. Bayen 19 88 0 14 Dec 2018