Learning to drive from a world on rails

3 May 2021

Papers citing "Learning to drive from a world on rails"

39 / 39 papers shown

Title
End-to-End Driving with Online Trajectory Evaluation via BEV World Model Yingyan Li Yuqi Wang Yang Liu Jiawei He Lue Fan Zhaoxiang Zhang OffRL 432 2 0 02 Apr 2025
Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End System Genjia Liu Yue Hu Chenxin Xu Weibo Mao Junhao Ge ... Yifan Lu Yinda Xu Junkai Xia Yafei Wang Siheng Chen 109 7 0 15 Apr 2024
RedMotion: Motion Prediction via Redundancy Reduction Royden Wagner Omer Sahin Tas Marvin Klemp Carlos Fernandez Lopez Christoph Stiller 97 8 0 19 Jun 2023
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving Aditya Prakash Kashyap Chitta Andreas Geiger ViT 103 525 0 19 Apr 2021
MP3: A Unified Model to Map, Perceive, Predict and Plan Sergio Casas Abbas Sadat R. Urtasun 3DV 89 230 0 18 Jan 2021
End-to-end Interpretable Neural Motion Planner Wenyuan Zeng Wenjie Luo Simon Suo Abbas Sadat Binh Yang Sergio Casas R. Urtasun 3DV 72 407 0 17 Jan 2021
Learning Quadrupedal Locomotion over Challenging Terrain Joonho Lee Jemin Hwangbo Lorenz Wellhausen V. Koltun Marco Hutter 120 1,170 0 21 Oct 2020
Phasic Policy Gradient K. Cobbe Jacob Hilton Oleg Klimov John Schulman OffRL 51 158 0 09 Sep 2020
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations Abbas Sadat Sergio Casas Mengye Ren Xinyu Wu Pranaab Dhawan R. Urtasun 3DV 114 196 0 13 Aug 2020
Learning by Cheating Dian Chen Brady Zhou V. Koltun Philipp Krahenbuhl SSL 91 515 0 27 Dec 2019
Scalability in Perception for Autonomous Driving: Waymo Open Dataset Pei Sun Henrik Kretzschmar Xerxes Dotiwalla Aurelien Chouard Vijaysai Patnaik ... Shuyang Cheng Yu Zhang Jonathon Shlens Zhifeng Chen Dragomir Anguelov 117 2,877 0 10 Dec 2019
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 113 1,354 0 03 Dec 2019
Leveraging Procedural Generation to Benchmark Reinforcement Learning K. Cobbe Christopher Hesse Jacob Hilton John Schulman 72 555 0 03 Dec 2019
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances Marin Toromanoff É. Wirbel Fabien Moutarde OffRL 115 208 0 25 Nov 2019
Learning Compact Models for Planning with Exogenous Processes Rohan Chitnis Tomás Lozano-Pérez 124 20 0 30 Sep 2019
Exploring the Limitations of Behavior Cloning for Autonomous Driving Felipe Codevilla Eder Santana Antonio M. López Adrien Gaidon 46 543 0 18 Apr 2019
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst Mayank Bansal A. Krizhevsky A. Ogale OOD 84 739 0 07 Dec 2018
Recurrent World Models Facilitate Policy Evolution David R Ha Jürgen Schmidhuber SyDa TPM 117 941 0 04 Sep 2018
CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving Xiaodan Liang Tairui Wang Luona Yang Eric Xing 50 269 0 10 Jul 2018
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion Jacob Buckman Danijar Hafner George Tucker E. Brevdo Honglak Lee 86 332 0 04 Jul 2018
Conditional Affordance Learning for Driving in Urban Environments Axel Sauer Nikolay Savinov Andreas Geiger 45 186 0 18 Jun 2018
Implicit Quantile Networks for Distributional Reinforcement Learning Will Dabney Georg Ostrovski David Silver Rémi Munos OffRL 129 532 0 14 Jun 2018
Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning Thomas G. Dietterich George Trimponias Zhitang Chen BDL OffRL 54 32 0 05 Jun 2018
Driving Policy Transfer via Modularity and Abstraction Matthias Muller Alexey Dosovitskiy Guohao Li V. Koltun 68 224 0 25 Apr 2018
Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning Vladimir Feinberg Alvin Wan Ion Stoica Michael I. Jordan Joseph E. Gonzalez Sergey Levine OffRL 56 317 0 28 Feb 2018
Model-Ensemble Trust-Region Policy Optimization Thanard Kurutach I. Clavera Yan Duan Aviv Tamar Pieter Abbeel 84 451 0 28 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 294 8,329 0 04 Jan 2018
CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy G. Ros Felipe Codevilla Antonio M. López V. Koltun VLM 133 5,163 0 10 Nov 2017
End-to-end Driving via Conditional Imitation Learning Felipe Codevilla Matthias Muller Antonio M. López V. Koltun Alexey Dosovitskiy 123 1,066 0 06 Oct 2017
Rainbow: Combining Improvements in Deep Reinforcement Learning Matteo Hessel Joseph Modayil H. V. Hasselt Tom Schaul Georg Ostrovski Will Dabney Dan Horgan Bilal Piot M. G. Azar David Silver OffRL 107 2,263 0 06 Oct 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 473 19,006 0 20 Jul 2017
Value Prediction Network Junhyuk Oh Satinder Singh Honglak Lee 74 333 0 11 Jul 2017
DART: Noise Injection for Robust Imitation Learning Michael Laskey Jonathan Lee Roy Fox Anca Dragan Ken Goldberg 191 246 0 27 Mar 2017
End to End Learning for Self-Driving Cars Mariusz Bojarski D. Testa Daniel Dworakowski Bernhard Firner B. Flepp ... Urs Muller Jiakai Zhang Xin Zhang Jake Zhao Karol Zieba SSL 97 4,167 0 25 Apr 2016
Continuous Deep Q-Learning with Model-based Acceleration S. Gu Timothy Lillicrap Ilya Sutskever Sergey Levine 86 1,012 0 02 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,814 0 10 Dec 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 318 13,234 0 09 Sep 2015
End-to-End Training of Deep Visuomotor Policies Sergey Levine Chelsea Finn Trevor Darrell Pieter Abbeel BDL 308 3,434 0 02 Apr 2015
Decision-Theoretic Planning: Structural Assumptions and Computational Leverage Craig Boutilier T. Dean S. Hanks 114 1,312 0 27 May 2011