An Algorithmic Perspective on Imitation Learning

16 November 2018

Pieter Abbeel

Jan Peters

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Papers citing "An Algorithmic Perspective on Imitation Learning"

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UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning Christopher P. Diehl Timo Sievernich Martin Krüger F. Hoffmann Torsten Bertram OffRL 16 25 0 22 Nov 2021
GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving Raphael Chekroun Marin Toromanoff Sascha Hornauer Fabien Moutarde 26 60 0 16 Nov 2021
Learning Multi-Stage Tasks with One Demonstration via Self-Replay Norman Di Palo Edward Johns SSL 19 23 0 14 Nov 2021
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System M. Schultheis Dominik Straub Constantin Rothkopf 11 20 0 21 Oct 2021
Learning UI Navigation through Demonstrations composed of Macro Actions Wei Li LLMAG 13 9 0 16 Oct 2021
Learning Cloth Folding Tasks with Refined Flow Based Spatio-Temporal Graphs Peng Zhou Omar Zahra Anqing Duan Shengzeng Huo Zeyu Wu D. Navarro-Alarcon 18 4 0 16 Oct 2021
A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise Datasets J. E. Grigsby Yanjun Qi OffRL 16 5 0 10 Oct 2021
Correct Me if I am Wrong: Interactive Learning for Robotic Manipulation Eugenio Chisari Tim Welschehold Joschka Boedecker Wolfram Burgard Abhinav Valada 19 37 0 07 Oct 2021
Automatic Discovery and Description of Human Planning Strategies Julian Skirzyñski Y. Jain Falk Lieder 25 1 0 29 Sep 2021
Geometric Task Networks: Learning Efficient and Explainable Skill Coordination for Object Manipulation Meng Guo Mathias Bürger 27 9 0 18 Sep 2021
ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning Ryan Hoque Ashwin Balakrishna Ellen R. Novoseller Albert Wilcox Daniel S. Brown Ken Goldberg 27 84 0 17 Sep 2021
Learning Forceful Manipulation Skills from Multi-modal Human Demonstrations An T. Le Meng Guo Niels van Duijkeren Leonel Rozo R. Krug A. Kupcsik Mathias Buerger 25 18 0 09 Sep 2021
Implicit Behavioral Cloning Peter R. Florence Corey Lynch Andy Zeng Oscar Ramirez Ayzaan Wahid Laura Downs Adrian S. Wong Johnny Lee Igor Mordatch Jonathan Tompson OffRL 49 368 0 01 Sep 2021
Risk Averse Bayesian Reward Learning for Autonomous Navigation from Human Demonstration Christian Ellis Maggie B. Wigness J. Rogers Craig T. Lennon L. Fiondella 70 6 0 31 Jul 2021
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks Ruohan Zhang F. Torabi Garrett A. Warnell Peter Stone 73 28 0 13 Jul 2021
Physical Interaction as Communication: Learning Robot Objectives Online from Human Corrections Dylan P. Losey Andrea V. Bajcsy M. O'Malley Anca Dragan 14 36 0 06 Jul 2021
Contextual Inverse Optimization: Offline and Online Learning Omar Besbes Yuri R. Fonseca Ilan Lobel OffRL 14 14 0 26 Jun 2021
Active Learning in Robotics: A Review of Control Principles Annalisa T. Taylor Thomas A. Berrueta Todd D. Murphey 27 70 0 25 Jun 2021
Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks Ting-Kuei Hu Fernando Gama Tianlong Chen Wenqing Zheng Zhangyang Wang Alejandro Ribeiro Brian M. Sadler GNN 65 18 0 24 Jun 2021
Make Bipedal Robots Learn How to Imitate Vishal Kumar Sinnu Susan Thomas 18 0 0 15 May 2021
SkiffOS: Minimal Cross-compiled Linux for Embedded Containers Christian Stewart 36 49 0 31 Mar 2021
Continuous-time State & Dynamics Estimation using a Pseudo-Spectral Parameterization Varun Agrawal F. Dellaert 25 3 0 22 Mar 2021
Towards an AI Coach to Infer Team Mental Model Alignment in Healthcare Sangwon Seo Lauren R. Kennedy-Metz M. Zenati J. Shah R. Dias Vaibhav Unhelkar 110 21 0 17 Feb 2021
Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments Amin Rakhsha Xuezhou Zhang Xiaojin Zhu Adish Singla AAML OffRL 38 37 0 16 Feb 2021
Semi-supervised reward learning for offline reinforcement learning Ksenia Konyushkova Konrad Zolna Y. Aytar Alexander Novikov Scott E. Reed Serkan Cabi Nando de Freitas SSL OffRL 68 23 0 12 Dec 2020
Offline Learning from Demonstrations and Unlabeled Experience Konrad Zolna Alexander Novikov Ksenia Konyushkova Çağlar Gülçehre Ziyun Wang Y. Aytar Misha Denil Nando de Freitas Scott E. Reed SSL OffRL 32 66 0 27 Nov 2020
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks Amin Rakhsha Goran Radanović R. Devidze Xiaojin Zhu Adish Singla AAML OffRL 28 29 0 21 Nov 2020
Grasping with Chopsticks: Combating Covariate Shift in Model-free Imitation Learning for Fine Manipulation Liyiming Ke Jingqiang Wang T. Bhattacharjee Byron Boots S. Srinivasa 11 42 0 13 Nov 2020
Trajectory Planning for Autonomous Vehicles Using Hierarchical Reinforcement Learning Kaleb Ben Naveed Zhiqian Qiao John M. Dolan 9 55 0 09 Nov 2020
Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers Philipp Geiger C. Straehle AI4CE 22 26 0 17 Aug 2020
Learning from Sparse Demonstrations Wanxin Jin Todd D. Murphey Dana Kulić Neta Ezer Shaoshuai Mou 11 35 0 05 Aug 2020
Bayesian Robust Optimization for Imitation Learning Daniel S. Brown S. Niekum Marek Petrik 27 32 0 24 Jul 2020
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting Sergio Casas Cole Gulino Simon Suo Katie Z Luo Renjie Liao R. Urtasun 152 155 0 23 Jul 2020
Learning "What-if" Explanations for Sequential Decision-Making Ioana Bica Daniel Jarrett Alihan Huyuk M. Schaar OffRL 16 2 0 02 Jul 2020
FlowControl: Optical Flow Based Visual Servoing Max Argus Lukás Hermann Jon Long Thomas Brox 17 25 0 01 Jul 2020
Reparameterized Variational Divergence Minimization for Stable Imitation Dilip Arumugam Debadeepta Dey Alekh Agarwal Asli Celikyilmaz E. Nouri W. Dolan 25 3 0 18 Jun 2020
Deep Reinforcement Learning for Human-Like Driving Policies in Collision Avoidance Tasks of Self-Driving Cars Ran Emuna A. Borowsky Armin Biess 39 22 0 07 Jun 2020
Cross-Domain Imitation Learning with a Dual Structure Sungho Choi Seungyul Han Woojun Kim Y. Sung 11 2 0 02 Jun 2020
Automatic Discovery of Interpretable Planning Strategies Julian Skirzyñski Frederic Becker Falk Lieder 13 15 0 24 May 2020
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning Amin Rakhsha Goran Radanović R. Devidze Xiaojin Zhu Adish Singla AAML OffRL 9 119 0 28 Mar 2020
Similarity of Neural Networks with Gradients Shuai Tang Wesley J. Maddox Charlie Dickens Tom Diethe Andreas C. Damianou 14 25 0 25 Mar 2020
Vision-based Robot Manipulation Learning via Human Demonstrations Zhixin Jia Mengxiang Lin Zhixin Chen Shibo Jian SSL 6 7 0 01 Mar 2020
Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical Corrections Andreea Bobu Andrea V. Bajcsy J. F. Fisac Sampada Deglurkar Anca Dragan 22 41 0 03 Feb 2020
Learning by Cheating Dian Chen Brady Zhou V. Koltun Philipp Krahenbuhl SSL 47 503 0 27 Dec 2019
Synthetic Data for Deep Learning Sergey I. Nikolenko 46 348 0 25 Sep 2019
Leveraging Human Guidance for Deep Reinforcement Learning Tasks Ruohan Zhang F. Torabi L. Guan D. Ballard Peter Stone 11 87 0 21 Sep 2019
Off-road Autonomous Vehicles Traversability Analysis and Trajectory Planning Based on Deep Inverse Reinforcement Learning Zeyu Zhu Nan Li Ruoyu Sun Huijing Zhao Donghao Xu 18 32 0 16 Sep 2019
Comyco: Quality-Aware Adaptive Video Streaming via Imitation Learning Tianchi Huang Chao Zhou Ruixiao Zhang Chenglei Wu Xin Yao Lifeng Sun 15 90 0 06 Aug 2019
Active Learning within Constrained Environments through Imitation of an Expert Questioner Kalesha Bullard Yannick Schroecker Sonia Chernova 11 19 0 01 Jul 2019
Proximal Distilled Evolutionary Reinforcement Learning Cristian Bodnar Ben Day Pietro Lió 23 71 0 24 Jun 2019