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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Title
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting Sergio Casas Cole Gulino Simon Suo Katie Z Luo Renjie Liao R. Urtasun 161 155 0 23 Jul 2020
A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review Adam Bignold Francisco Cruz Matthew E. Taylor Tim Brys Richard Dazeley Peter Vamplew Cameron Foale 20 28 0 03 Jul 2020
Learning "What-if" Explanations for Sequential Decision-Making Ioana Bica Daniel Jarrett Alihan Huyuk M. Schaar OffRL 21 2 0 02 Jul 2020
FlowControl: Optical Flow Based Visual Servoing Max Argus Lukás Hermann Jon Long Thomas Brox 25 25 0 01 Jul 2020
Reparameterized Variational Divergence Minimization for Stable Imitation Dilip Arumugam Debadeepta Dey Alekh Agarwal Asli Celikyilmaz E. Nouri W. Dolan 33 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 42 22 0 07 Jun 2020
Cross-Domain Imitation Learning with a Dual Structure Sungho Choi Seungyul Han Woojun Kim Y. Sung 22 2 0 02 Jun 2020
Automatic Discovery of Interpretable Planning Strategies Julian Skirzyñski Frederic Becker Falk Lieder 15 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 11 121 0 28 Mar 2020
Similarity of Neural Networks with Gradients Shuai Tang Wesley J. Maddox Charlie Dickens Tom Diethe Andreas C. Damianou 19 25 0 25 Mar 2020
Vision-based Robot Manipulation Learning via Human Demonstrations Zhixin Jia Mengxiang Lin Zhixin Chen Shibo Jian SSL 14 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 30 41 0 03 Feb 2020
Learning by Cheating Dian Chen Brady Zhou V. Koltun Philipp Krahenbuhl SSL 47 503 0 27 Dec 2019
Benchmark for Skill Learning from Demonstration: Impact of User Experience, Task Complexity, and Start Configuration on Performance M. A. Rana Daphne Chen S. Ahmadzadeh Jacob Williams Vivian Chu Sonia Chernova 7 16 0 07 Nov 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 19 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 24 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 Lio 36 71 0 24 Jun 2019
A Survey of Behavior Learning Applications in Robotics -- State of the Art and Perspectives Alexander Fabisch Christoph Petzoldt M. Otto Frank Kirchner AI4CE 15 13 0 05 Jun 2019
Recent Advances in Imitation Learning from Observation F. Torabi Garrett A. Warnell Peter Stone 15 162 0 30 May 2019
Interactive Teaching Algorithms for Inverse Reinforcement Learning Parameswaran Kamalaruban R. Devidze V. Cevher Adish Singla 19 64 0 28 May 2019
Human Motion Trajectory Prediction: A Survey Andrey Rudenko Luigi Palmieri Michael Herman Kris Kitani D. Gavrila Kai O. Arras 34 726 0 15 May 2019
Simitate: A Hybrid Imitation Learning Benchmark Raphael Memmesheimer Ivanna Mykhalchyshyna Viktor Seib Dietrich Paulus 19 20 0 15 May 2019
Improving Task-Parameterised Movement Learning Generalisation with Frame-Weighted Trajectory Generation Aran Sena B. Michael M. Howard 9 20 0 04 Mar 2019
Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories Yanfu Zhang Wenshan Wang Rogerio Bonatti Daniel Maturana Sebastian Scherer 11 42 0 16 Oct 2018
Learning under Misspecified Objective Spaces Andreea Bobu Andrea V. Bajcsy J. F. Fisac Anca Dragan 11 30 0 11 Oct 2018
A survey on policy search algorithms for learning robot controllers in a handful of trials Konstantinos Chatzilygeroudis Vassilis Vassiliades F. Stulp Sylvain Calinon Jean-Baptiste Mouret 17 155 0 06 Jul 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 419 11,715 0 09 Mar 2017