Learning by Cheating

27 December 2019

Papers citing "Learning by Cheating"

34 / 34 papers shown

Title
Motion Priors Reimagined: Adapting Flat-Terrain Skills for Complex Quadruped Mobility Zewei Zhang Chenhao Li Takahiro Miki Marco Hutter 67 0 0 21 May 2025
Challenger: Affordable Adversarial Driving Video Generation Zhiyuan Xu Bohan Li Huan-ang Gao Mingju Gao Yong Chen Ming-Yuan Liu Chenxu Yan Hang Zhao Shuo Feng Hao Zhao AAML VGen 258 2 0 21 May 2025
Let Humanoids Hike! Integrative Skill Development on Complex Trails Kwan-Yee Lin Stella X.Yu 89 0 0 09 May 2025
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 483 2 0 02 Apr 2025
Generative Artificial Intelligence in Robotic Manipulation: A Survey Kun Zhang Peng Yun Jun Cen Junhao Cai DiDi Zhu ... Qifeng Chen Jia Pan Wei Zhang Bo Yang Hua Chen 148 1 0 05 Mar 2025
A Unifying Framework for Causal Imitation Learning with Hidden Confounders Daqian Shao Thomas Kleine Buening Marta Z. Kwiatkowska CML 98 1 0 11 Feb 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Yue Yang Xiao Lin Zhipeng Zhao SSL 149 10 0 28 Jan 2025
Scale-Aware Recognition in Satellite Images under Resource Constraints Shreelekha Revankar Cheng Perng Phoo Utkarsh Mall Bharath Hariharan Kavita Bala 95 0 0 31 Oct 2024
The Duke Humanoid: Design and Control For Energy Efficient Bipedal Locomotion Using Passive Dynamics Boxi Xia Bokuan Li Jacob Lee Michael Scutari Boyuan Chen AI4CE 88 4 0 29 Sep 2024
Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models A. Popov Alperen Degirmenci David Wehr Shashank Hegde Ryan Oldja ... David Nistér Urs Muller Ruchi Bhargava Stan Birchfield Nikolai Smolyanskiy 120 11 0 25 Sep 2024
Enhancing End-to-End Autonomous Driving with Latent World Model Yingyan Li Lue Fan Jiawei He Yuqi Wang Yuntao Chen Zhaoxiang Zhang Tieniu Tan 114 18 0 12 Jun 2024
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 118 7 0 15 Apr 2024
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 520 42,449 0 03 Dec 2019
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances Marin Toromanoff É. Wirbel Fabien Moutarde OffRL 134 208 0 25 Nov 2019
Does computer vision matter for action? Brady Zhou Philipp Krahenbuhl V. Koltun LM&Ro 83 107 0 30 May 2019
Monocular Plan View Networks for Autonomous Driving Dequan Wang Coline Devin Qi-Zhi Cai Philipp Krahenbuhl Trevor Darrell 77 82 0 16 May 2019
Exploring the Limitations of Behavior Cloning for Autonomous Driving Felipe Codevilla Eder Santana Antonio M. López Adrien Gaidon 56 546 0 18 Apr 2019
Objects as Points Xingyi Zhou Dequan Wang Philipp Krahenbuhl 3DPC 110 3,257 0 16 Apr 2019
Augment your batch: better training with larger batches Elad Hoffer Tal Ben-Nun Itay Hubara Niv Giladi Torsten Hoefler Daniel Soudry ODL 102 74 0 27 Jan 2019
Learning to Drive from Simulation without Real World Labels Alex Bewley J. Rigley Yuxuan Liu Jeffrey Hawke Richard Shen Vinh-Dieu Lam Alex Kendall OffRL 64 107 0 10 Dec 2018
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst Mayank Bansal A. Krizhevsky A. Ogale OOD 86 739 0 07 Dec 2018
An Algorithmic Perspective on Imitation Learning Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters 88 845 0 16 Nov 2018
CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving Xiaodan Liang Tairui Wang Luona Yang Eric Xing 58 269 0 10 Jul 2018
Conditional Affordance Learning for Driving in Urban Environments Axel Sauer Nikolay Savinov Andreas Geiger 48 186 0 18 Jun 2018
Verifiable Reinforcement Learning via Policy Extraction Osbert Bastani Yewen Pu Armando Solar-Lezama OffRL 129 337 0 22 May 2018
Driving Policy Transfer via Modularity and Abstraction Matthias Muller Alexey Dosovitskiy Guohao Li V. Koltun 73 224 0 25 Apr 2018
CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy G. Ros Felipe Codevilla Antonio M. López V. Koltun VLM 135 5,173 0 10 Nov 2017
End-to-end Driving via Conditional Imitation Learning Felipe Codevilla Matthias Muller Antonio M. López V. Koltun Alexey Dosovitskiy 131 1,066 0 06 Oct 2017
DART: Noise Injection for Robust Imitation Learning Michael Laskey Jonathan Lee Roy Fox Anca Dragan Ken Goldberg 191 247 0 27 Mar 2017
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction Wen Sun Arun Venkatraman Geoffrey J. Gordon Byron Boots J. Andrew Bagnell 132 235 0 03 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 100 4,170 0 25 Apr 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Reinforcement and Imitation Learning via Interactive No-Regret Learning Stéphane Ross J. Andrew Bagnell OffRL 150 264 0 23 Jun 2014
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 229 3,221 0 02 Nov 2010