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
Generating Unrestricted 3D Adversarial Point Clouds Xuelong Dai Yanjie Li Hua Dai Bin Xiao 3DPC 25 2 0 17 Nov 2021
Spatially and Seamlessly Hierarchical Reinforcement Learning for State Space and Policy space in Autonomous Driving Jaehyung Kim Jaeseung Jeong 12 0 0 10 Nov 2021
d3rlpy: An Offline Deep Reinforcement Learning Library Takuma Seno M. Imai OffRL GP 60 100 0 06 Nov 2021
Infinite Time Horizon Safety of Bayesian Neural Networks Mathias Lechner Dorde Zikelic K. Chatterjee T. Henzinger 11 18 0 04 Nov 2021
Self-learned Intelligence for Integrated Decision and Control of Automated Vehicles at Signalized Intersections Jiyoung Lee Jianhua Jiang Guojian Zhan Shengbo Eben Li Jingliang Duan Chen Chen Keqiang Li 28 13 0 24 Oct 2021
A Versatile and Efficient Reinforcement Learning Framework for Autonomous Driving Guan-Bo Wang Haoyi Niu Desheng Zhu Jianming Hu Xianyuan Zhan Guyue Zhou OffRL 16 2 0 22 Oct 2021
Motion Planning for Connected Automated Vehicles at Occluded Intersections With Infrastructure Sensors Johannes Müller Jan Strohbeck M. Herrmann M. Buchholz 51 32 0 21 Oct 2021
Safe Driving via Expert Guided Policy Optimization Zhenghao Peng Quanyi Li Chunxiao Liu Bolei Zhou OffRL 23 41 0 13 Oct 2021
Auditing Robot Learning for Safety and Compliance during Deployment Homanga Bharadhwaj 16 3 0 12 Oct 2021
Autonomous Racing using a Hybrid Imitation-Reinforcement Learning Architecture Chinmay Vilas Samak Tanmay Vilas Samak Sivanathan Kandhasamy 19 6 0 11 Oct 2021
Motion Planning for Autonomous Vehicles in the Presence of Uncertainty Using Reinforcement Learning K. Rezaee Peyman Yadmellat Simón Chamorro 11 21 0 01 Oct 2021
SafetyNet: Safe planning for real-world self-driving vehicles using machine-learned policies Matt Vitelli Yan-Xia Chang Yawei Ye Maciej Wołczyk Bla.zej Osiñski Moritz Niendorf Hugo Grimmett Qiangui Huang Ashesh Jain Peter Ondruska 15 77 0 28 Sep 2021
Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients Oliver Scheel Luca Bergamini Maciej Wołczyk Bla.zej Osiñski Peter Ondruska 34 104 0 27 Sep 2021
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning Quanyi Li Zhenghao Peng Lan Feng Qihang Zhang Zhenghai Xue Bolei Zhou 37 230 0 26 Sep 2021
Auditing AI models for Verified Deployment under Semantic Specifications Homanga Bharadhwaj De-An Huang Chaowei Xiao Anima Anandkumar Animesh Garg MLAU 25 6 0 25 Sep 2021
Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive Deep Reinforcement Learning Peide Cai Sukai Wang Hengli Wang Ming-Yu Liu AI4TS 22 15 0 17 Sep 2021
Deep Visual Navigation under Partial Observability Bo Ai Wei Gao Vinay David Hsu 11 10 0 16 Sep 2021
Vision Transformer for Learning Driving Policies in Complex Multi-Agent Environments E. Kargar Ville Kyrki ViT 21 12 0 14 Sep 2021
AutoSoC: Automating Algorithm-SOC Co-design for Aerial Robots Srivatsan Krishnan Thierry Tambe Zishen Wan Vijay Janapa Reddi 16 10 0 13 Sep 2021
Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-lane Scenarios Jingliang Duan Yangang Ren Fawang Zhang Yang Guan Dongjie Yu Shengbo Eben Li B. Cheng Lin Zhao 21 6 0 12 Sep 2021
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques Shiyu Tang Ruihao Gong Yan Wang Aishan Liu Jiakai Wang ... Xianglong Liu D. Song Alan Yuille Philip H. S. Torr Dacheng Tao VLM AAML 26 106 0 11 Sep 2021
Optimal Stroke Learning with Policy Gradient Approach for Robotic Table Tennis Yapeng Gao Jonas Tebbe A. Zell OffRL 16 14 0 07 Sep 2021
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach Zhejun Zhang Alexander Liniger Dengxin Dai F. I. F. Richard Yu Luc Van Gool 17 194 0 18 Aug 2021
Reimagining an autonomous vehicle Jeffrey Hawke E. Haibo Vijay Badrinarayanan Alex Kendall 29 11 0 12 Aug 2021
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks Peide Cai Hengli Wang Yuxiang Sun Ming-Yu Liu GNN 32 39 0 11 Aug 2021
Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning Peide Cai Hengli Wang Huaiyang Huang Yuxuan Liu Ming-Yu Liu 15 64 0 18 Jul 2021
Safe Exploration by Solving Early Terminated MDP Hao Sun Ziping Xu Meng Fang Zhenghao Peng Jiadong Guo Bo Dai Bolei Zhou 11 16 0 09 Jul 2021
Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots Katie Kang G. Kahn Sergey Levine 34 5 0 24 Jun 2021
A Survey on Human-aware Robot Navigation Ronja Möller Antonino Furnari S. Battiato Aki Härmä G. Farinella 41 87 0 22 Jun 2021
Cogment: Open Source Framework For Distributed Multi-actor Training, Deployment & Operations AI Redefined S. Gottipati Sagar Kurandwad Clodéric Mars Gregory Szriftgiser Franccois Chabot 21 8 0 21 Jun 2021
Learning of feature points without additional supervision improves reinforcement learning from images Rinu Boney Alexander Ilin Juho Kannala SSL 10 2 0 15 Jun 2021
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL Bogdan Mazoure Ahmed M. Ahmed Patrick MacAlpine R. Devon Hjelm Andrey Kolobov 22 27 0 04 Jun 2021
A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles Fei Ye Shen Zhang Pin Wang Ching-yao Chan 11 54 0 29 May 2021
LVD-NMPC: A Learning-based Vision Dynamics Approach to Nonlinear Model Predictive Control for Autonomous Vehicles Sorin Grigorescu Cosmin Ginerica Mihai V. Zaha G. Macesanu Bogdan Trasnea 6 7 0 27 May 2021
Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks Khadija Shaheen Muhammad Abdullah Hanif Osman Hasan Muhammad Shafique CLL 6 90 0 26 May 2021
Fixed-Dimensional and Permutation Invariant State Representation of Autonomous Driving Jingliang Duan Dongjie Yu Shengbo Eben Li Wenxuan Wang Yangang Ren Ziyu Lin B. Cheng 22 10 0 24 May 2021
Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Autonomous Driving C. Hoel Krister Wolff L. Laine UQCV EDL 18 38 0 21 May 2021
Evaluating Robustness over High Level Driving Instruction for Autonomous Driving Florence Carton David Filliat Jaonary Rabarisoa Q. C. Pham ELM 14 2 0 20 May 2021
Efficient and Robust LiDAR-Based End-to-End Navigation Zhijian Liu Alexander Amini Sibo Zhu S. Karaman Song Han Daniela Rus 172 46 0 20 May 2021
VOILA: Visual-Observation-Only Imitation Learning for Autonomous Navigation Haresh Karnan Garrett A. Warnell Xuesu Xiao Peter Stone 20 57 0 19 May 2021
Trajectory Prediction for Autonomous Driving with Topometric Map Jiaolong Xu Liang Xiao Dawei Zhao Yiming Nie Bin Dai 16 8 0 09 May 2021
Robotic Surgery With Lean Reinforcement Learning Yotam Barnoy Molly O'Brien W. Wang Gregory D. Hager OffRL 38 20 0 03 May 2021
Reward (Mis)design for Autonomous Driving W. B. Knox A. Allievi Holger Banzhaf Felix Schmitt Peter Stone 80 112 0 28 Apr 2021
End-to-End Intersection Handling using Multi-Agent Deep Reinforcement Learning Alessandro Paolo Capasso Paolo Maramotti Anthony DellÉva A. Broggi 65 18 0 28 Apr 2021
How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control? Jingxi Xu Bruce D. Lee Nikolai Matni Dinesh Jayaraman 97 6 0 02 Apr 2021
Benchmarks for Deep Off-Policy Evaluation Justin Fu Mohammad Norouzi Ofir Nachum George Tucker Ziyun Wang ... Yutian Chen Aviral Kumar Cosmin Paduraru Sergey Levine T. Paine ELM OffRL 35 100 0 30 Mar 2021
Increasing the Efficiency of Policy Learning for Autonomous Vehicles by Multi-Task Representation Learning E. Kargar Ville Kyrki 17 10 0 26 Mar 2021
Hierarchical Program-Triggered Reinforcement Learning Agents For Automated Driving Briti Gangopadhyay Harshit Soora P. Dasgupta 11 34 0 25 Mar 2021
Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry Qadeer Ahmad Khan Patrick Wenzel Daniel Cremers SSL 26 3 0 20 Mar 2021
Goal-constrained Sparse Reinforcement Learning for End-to-End Driving Pranav Agarwal Pierre de Beaucorps Raoul de Charette 19 3 0 16 Mar 2021