Learning to Drive in a Day

1 July 2018

Alex Kendall

Alex Bewley

Papers citing "Learning to Drive in a Day"

50 / 269 papers shown

Title
Deep Occupancy-Predictive Representations for Autonomous Driving Eivind Meyer Lars Frederik Peiss Matthias Althoff 37 3 0 07 Mar 2023
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios Yiren Lu Justin Fu George Tucker Xinlei Pan Eli Bronstein ... Brandyn White Aleksandra Faust Shimon Whiteson Drago Anguelov Sergey Levine OffRL 24 92 0 21 Dec 2022
Planning-oriented Autonomous Driving Yi Hu Jiazhi Yang Li Chen Keyu Li Chonghao Sima ... Xiaosong Jia Qiang Liu Jifeng Dai Yu Qiao Hongyang Li 43 588 0 20 Dec 2022
Reinforcement Learning from Simulation to Real World Autonomous Driving using Digital Twin Kevin Voogd Jean Pierre Allamaa Javier Alonso-Mora Tong Duy Son 28 14 0 27 Nov 2022
Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts S. Pini C. Perone Aayush Ahuja Ana Ferreira Moritz Niendorf Sergey Zagoruyko 20 36 0 03 Nov 2022
Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving Without Real Data John So Amber Xie Sunggoo Jung J. Edlund Rohan Thakker Ali Agha-mohammadi Pieter Abbeel Stephen James 26 9 0 25 Oct 2022
Pedestrian Emergency Braking in Ten Weeks Steven Nguyen Zillur Rahman B. Morris 15 2 0 21 Oct 2022
Integrated Decision and Control for High-Level Automated Vehicles by Mixed Policy Gradient and Its Experiment Verification Yang Guan Liye Tang Chuanxiao Li Shengbo Eben Li Yangang Ren Junqing Wei Bo Zhang Ke Li 18 0 0 19 Oct 2022
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning Abdus Salam Azad Izzeddin Gur Jasper Emhoff Nathaniel Alexis Aleksandra Faust Pieter Abbeel Ion Stoica SSL 24 12 0 19 Oct 2022
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving Eli Bronstein Mark Palatucci Dominik Notz Brandyn White Alex Kuefler ... Punit Shah Evan Racah Benjamin Frenkel Shimon Whiteson Drago Anguelov 40 58 0 18 Oct 2022
Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm Ashish Kumar Jayant S. Bhatnagar OffRL 13 37 0 14 Oct 2022
Backward Reachability Analysis of Neural Feedback Loops: Techniques for Linear and Nonlinear Systems Nicholas Rober Sydney M. Katz Chelsea Sidrane Esen Yel Michael Everett Mykel J. Kochenderfer Jonathan P. How 32 26 0 28 Sep 2022
Bypassing the Simulation-to-reality Gap: Online Reinforcement Learning using a Supervisor B. D. Evans Johannes Betz Hongrui Zheng H. Engelbrecht Rahul Mangharam H. W. Jordaan OffRL 17 6 0 22 Sep 2022
A Joint Imitation-Reinforcement Learning Framework for Reduced Baseline Regret Sheelabhadra Dey Sumedh Pendurkar Guni Sharon Josiah P. Hanna 16 10 0 20 Sep 2022
Dynamic Regret of Online Markov Decision Processes Peng Zhao Longfei Li Zhi-Hua Zhou OffRL 22 17 0 26 Aug 2022
Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous Driving Sebastian Rietsch S. Huang G. Kontes Axel Plinge Christopher Mutschler OOD OffRL 19 5 0 23 Jul 2022
Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving Zhiyu Huang Haochen Liu Jingda Wu Chen Lv 37 91 0 21 Jul 2022
A Survey of Recent Machine Learning Solutions for Ship Collision Avoidance and Mission Planning Pouria Sarhadi W. Naeem N. Athanasopoulos 28 17 0 06 Jul 2022
Tackling Real-World Autonomous Driving using Deep Reinforcement Learning Paolo Maramotti Alessandro Paolo Capasso Giulio Bacchiani A. Broggi 35 9 0 05 Jul 2022
LiDAR-as-Camera for End-to-End Driving Ardi Tampuu Romet Aidla J. Gent Tambet Matiisen 22 19 0 30 Jun 2022
Meta Reinforcement Learning with Finite Training Tasks -- a Density Estimation Approach Zohar Rimon Aviv Tamar Gilad Adler OOD OffRL 26 8 0 21 Jun 2022
Incorporating Voice Instructions in Model-Based Reinforcement Learning for Self-Driving Cars Mingze Wang Ziyang Zhang Grace Hui Yang 21 1 0 21 Jun 2022
3D Object Detection for Autonomous Driving: A Comprehensive Survey Jiageng Mao Shaoshuai Shi Xiaogang Wang Hongsheng Li 3DPC 29 205 0 19 Jun 2022
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline Peng Wu Xiaosong Jia Li Chen Junchi Yan Hongyang Li Yu Qiao 30 182 0 16 Jun 2022
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations Cong Lu Philip J. Ball Tim G. J. Rudner Jack Parker-Holder Michael A. Osborne Yee Whye Teh OffRL 24 51 0 09 Jun 2022
Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk Chengyang Ying Xinning Zhou Hang Su Dong Yan Ning Chen Jun Zhu 13 41 0 09 Jun 2022
Driving in Real Life with Inverse Reinforcement Learning Tung Phan-Minh Forbes Howington Ting-Sheng Chu Sang Uk Lee Momchil S. Tomov ... Fráncisco Suarez-Ruiz Robert E. Beaudoin Bo Yang Sammy Omari Eric M. Wolff OffRL 8 27 0 07 Jun 2022
On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models Marvin Klingner Konstantin Müller Mona Mirzaie Jasmin Breitenstein Jan-Aike Termöhlen Tim Fingscheidt 17 4 0 01 Jun 2022
Human-AI Shared Control via Policy Dissection Quanyi Li Zhenghao Peng Haibin Wu Lan Feng Bolei Zhou 10 13 0 31 May 2022
A Review of Safe Reinforcement Learning: Methods, Theory and Applications Shangding Gu Longyu Yang Yali Du Guang Chen Florian Walter Jun Wang Alois C. Knoll OffRL AI4TS 115 237 0 20 May 2022
Evaluating Vision Transformer Methods for Deep Reinforcement Learning from Pixels Tianxin Tao Daniele Reda M. van de Panne ViT 11 19 0 11 Apr 2022
ReIL: A Framework for Reinforced Intervention-based Imitation Learning Rom N. Parnichkun M. Dailey Atsushi Yamashita 14 2 0 29 Mar 2022
Learning from All Vehicles Dian Chen Philipp Krahenbuhl 33 176 0 22 Mar 2022
Optimizing Trajectories for Highway Driving with Offline Reinforcement Learning Branka Mirchevska M. Werling Joschka Boedecker OffRL 18 5 0 21 Mar 2022
Lateral Ego-Vehicle Control without Supervision using Point Clouds F. Mueller Qadeer Ahmad Khan Daniel Cremers 3DPC 9 1 0 20 Mar 2022
The Sandbox Environment for Generalizable Agent Research (SEGAR) R. Devon Hjelm Bogdan Mazoure Florian Golemo Felipe Vieira Frujeri Mihai Jalobeanu Andrey Kolobov LLMAG LRM 21 1 0 19 Mar 2022
Self-Distribution Distillation: Efficient Uncertainty Estimation Yassir Fathullah Mark J. F. Gales UQCV 14 11 0 15 Mar 2022
Vision-based Distributed Multi-UAV Collision Avoidance via Deep Reinforcement Learning for Navigation Huaxing Huang Guijie Zhu Zhun Fan Hao Zhai Yuwei Cai Zekun Shi Zhaohui Dong Zhifeng Hao 15 11 0 05 Mar 2022
CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban Driving Yinuo Zhao Kun Wu Zhiyuan Xu Zhengping Che Qi Lu Jian Tang C. Liu 26 26 0 17 Feb 2022
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving Valerio De Caro S. Bano Achilles Machumilane A. Gotta P. Cassará ... Iraklis Varlamis Konstantinos Tserpes Vincenzo Lomonaco Claudio Gallicchio D. Bacciu 8 14 0 03 Feb 2022
A Safety-Critical Decision Making and Control Framework Combining Machine Learning and Rule-based Algorithms Andrei Aksjonov Ville Kyrki 11 3 0 30 Jan 2022
Robust Imitation Learning from Corrupted Demonstrations Liu Liu Ziyang Tang Lanqing Li Dijun Luo 28 12 0 29 Jan 2022
Zeroth-Order Actor-Critic: An Evolutionary Framework for Sequential Decision Problems Yuheng Lei Jianyu Chen Guojian Zhan Tao Zhang Jiangtao Li Jianyu Chen Shengbo Eben Li Sifa Zheng OffRL 16 2 0 29 Jan 2022
Too Afraid to Drive: Systematic Discovery of Semantic DoS Vulnerability in Autonomous Driving Planning under Physical-World Attacks Ziwen Wan Junjie Shen Jalen Chuang Xin Xia Joshua Garcia Jiaqi Ma Qi Alfred Chen AAML 16 31 0 12 Jan 2022
Verified Probabilistic Policies for Deep Reinforcement Learning E. Bacci David Parker 13 4 0 10 Jan 2022
Hybrid intelligence for dynamic job-shop scheduling with deep reinforcement learning and attention mechanism Yu-jian Zeng Zijun Liao Y. Dai Rong Wang Xiu Li Bo Yuan 15 14 0 03 Jan 2022
Operator Deep Q-Learning: Zero-Shot Reward Transferring in Reinforcement Learning Ziyang Tang Yihao Feng Qiang Liu OffRL 9 1 0 01 Jan 2022
Evaluating the Robustness of Deep Reinforcement Learning for Autonomous Policies in a Multi-agent Urban Driving Environment Aizaz Sharif D. Marijan 16 5 0 22 Dec 2021
Learning Interactive Driving Policies via Data-driven Simulation Tsun-Hsuan Wang Alexander Amini Wilko Schwarting Igor Gilitschenski S. Karaman Daniela Rus 19 20 0 23 Nov 2021
Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation Dylan J. Foster A. Krishnamurthy D. Simchi-Levi Yunzong Xu OffRL 11 62 0 21 Nov 2021