End-to-End Training of Deep Visuomotor Policies

2 April 2015

Pieter Abbeel

Papers citing "End-to-End Training of Deep Visuomotor Policies"

50 / 922 papers shown

Title
Learning Autonomous Exploration and Mapping with Semantic Vision Xiangyang Zhi Xuming He Sören Schwertfeger 27 9 0 15 Jan 2019
Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies Alexander Sax Bradley Emi Amir Zamir Leonidas J. Guibas Silvio Savarese Jitendra Malik SSL 39 16 0 31 Dec 2018
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications Thanh Thi Nguyen Ngoc Duy Nguyen S. Nahavandi 27 775 0 31 Dec 2018
Learning to Walk via Deep Reinforcement Learning Tuomas Haarnoja Sehoon Ha Aurick Zhou Jie Tan George Tucker Sergey Levine 54 433 0 26 Dec 2018
Dopamine: A Research Framework for Deep Reinforcement Learning Pablo Samuel Castro Subhodeep Moitra Carles Gelada Saurabh Kumar Marc G. Bellemare OffRL 28 276 0 14 Dec 2018
A predictive safety filter for learning-based control of constrained nonlinear dynamical systems K. P. Wabersich Melanie Zeilinger AI4CE 28 155 0 13 Dec 2018
Residual Reinforcement Learning for Robot Control T. Johannink Shikhar Bahl Ashvin Nair Jianlan Luo Avinash Kumar M. Loskyll J. A. Ojea Eugen Solowjow Sergey Levine OffRL 30 409 0 07 Dec 2018
Top-K Off-Policy Correction for a REINFORCE Recommender System Minmin Chen Alex Beutel Paul Covington Sagar Jain Francois Belletti Ed H. Chi CML OffRL 31 474 0 06 Dec 2018
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control F. Ebert Chelsea Finn Sudeep Dasari Annie Xie Alex X. Lee Sergey Levine SSL 35 379 0 03 Dec 2018
Hardware Conditioned Policies for Multi-Robot Transfer Learning Tao Chen Adithyavairavan Murali Abhinav Gupta 21 102 0 24 Nov 2018
Learning Actionable Representations with Goal-Conditioned Policies Dibya Ghosh Abhishek Gupta Sergey Levine 32 109 0 19 Nov 2018
An Algorithmic Perspective on Imitation Learning Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters 48 830 0 16 Nov 2018
Learning to Predict the Cosmological Structure Formation Siyu He Yin Li Yu Feng S. Ho Siamak Ravanbakhsh Wei Chen Barnabás Póczós 28 168 0 15 Nov 2018
Neural Predictive Belief Representations Z. Guo M. G. Azar Bilal Piot Bernardo Avila-Pires Rémi Munos SSL 24 80 0 15 Nov 2018
Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction Valts Blukis Dipendra Kumar Misra Ross A. Knepper Yoav Artzi 27 82 0 10 Nov 2018
Robust, Compliant Assembly via Optimal Belief Space Planning Florian Wirnshofer Philipp S. Schmitt W. Feiten Georg von Wichert Wolfram Burgard 20 22 0 09 Nov 2018
Sample-Efficient Policy Learning based on Completely Behavior Cloning Qiming Zou Ling Wang K. Lu Yu Li OffRL 25 0 0 09 Nov 2018
Correlation Filter Selection for Visual Tracking Using Reinforcement Learning Yanchun Xie Jimin Xiao Hassan Jameel Asghar Jeyarajan Thiyagalingam Dali Kaafar 18 21 0 08 Nov 2018
Quantifying the Reality Gap in Robotic Manipulation Tasks J. Collins David Howard Jurgen Leitner 11 45 0 05 Nov 2018
Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions Lerrel Pinto Aditya Mandalika Brian Hou S. Srinivasa 33 13 0 24 Oct 2018
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks Michelle A. Lee Yuke Zhu K. Srinivasan Parth Shah Silvio Savarese Li Fei-Fei Animesh Garg Jeannette Bohg SSL 35 368 0 24 Oct 2018
Multi-Agent Actor-Critic with Generative Cooperative Policy Network Heechang Ryu Hayong Shin Jinkyoo Park 22 12 0 22 Oct 2018
RLgraph: Modular Computation Graphs for Deep Reinforcement Learning Michael Schaarschmidt Sven Mika Kai Fricke Eiko Yoneki OffRL 23 5 0 21 Oct 2018
Establishing Appropriate Trust via Critical States Sandy H. Huang Kush S. Bhatia Pieter Abbeel Anca Dragan OffRL 16 108 0 18 Oct 2018
Learning Socially Appropriate Robot Approaching Behavior Toward Groups using Deep Reinforcement Learning Yuan Gao Fangkai Yang Martin Frisk Daniel Hernández Christopher E. Peters Ginevra Castellano 27 5 0 16 Oct 2018
Learning to Sketch with Deep Q Networks and Demonstrated Strokes Tao Zhou Chen Fang Zhaowen Wang Jimei Yang Byungmoon Kim Zhili Chen Jonathan Brandt Demetri Terzopoulos 25 7 0 14 Oct 2018
Discovering General-Purpose Active Learning Strategies Ksenia Konyushkova Raphael Sznitman Pascal Fua 30 33 0 09 Oct 2018
Task-Embedded Control Networks for Few-Shot Imitation Learning Stephen James Michael Bloesch Andrew J. Davison 38 135 0 08 Oct 2018
A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning Mel Vecerík Oleg O. Sushkov David Barker Thomas Rothörl Todd Hester Jonathan Scholz 19 110 0 02 Oct 2018
Energy-Based Hindsight Experience Prioritization Rui Zhao Volker Tresp 19 74 0 02 Oct 2018
Few-Shot Goal Inference for Visuomotor Learning and Planning Annie Xie Avi Singh Sergey Levine Chelsea Finn OffRL 40 71 0 30 Sep 2018
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging Huy P Phan Fernando Andreotti Navin Cooray Oliver Y. Chén M. D. Vos 28 415 0 28 Sep 2018
Learning Robust Manipulation Skills with Guided Policy Search via Generative Motor Reflexes Philipp Ennen Pia Bresenitz R. Vossen F. Hees 22 8 0 15 Sep 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization I. Clavera Jonas Rothfuss John Schulman Yasuhiro Fujita Tamim Asfour Pieter Abbeel 30 225 0 14 Sep 2018
Deep Reinforcement Learning for Event-Triggered Control Dominik Baumann Jia Jie Zhu Georg Martius Sebastian Trimpe BDL 30 60 0 13 Sep 2018
Synthetic Occlusion Augmentation with Volumetric Heatmaps for the 2018 ECCV PoseTrack Challenge on 3D Human Pose Estimation István Sárándi Timm Linder Kai O. Arras Bastian Leibe 3DH 26 41 0 13 Sep 2018
Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks Ramin M. Hasani Alexander Amini Mathias Lechner Felix Naser Radu Grosu Daniela Rus 28 25 0 11 Sep 2018
VPE: Variational Policy Embedding for Transfer Reinforcement Learning Isac Arnekvist Danica Kragic J. A. Stork OffRL 25 37 0 10 Sep 2018
Unity: A General Platform for Intelligent Agents Arthur Juliani Vincent-Pierre Berges Esh Vckay Andrew Cohen Jonathan Harper ... Chris Goy Yuan Gao Hunter Henry Marwan Mattar Danny Lange 39 808 0 07 Sep 2018
ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience Replay Sameera Lanka Tianfu Wu 28 30 0 06 Sep 2018
Model-Based Regularization for Deep Reinforcement Learning with Transcoder Networks Felix Leibfried Peter Vrancx OffRL 14 7 0 06 Sep 2018
A Robotic Auto-Focus System based on Deep Reinforcement Learning Xiaofan Yu Runze Yu Jingsong Yang Xiaohui Duan 26 9 0 05 Sep 2018
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning Marvin Zhang Sharad Vikram Laura M. Smith Pieter Abbeel Matthew J. Johnson Sergey Levine OffRL 23 41 0 28 Aug 2018
Sidekick Policy Learning for Active Visual Exploration Santhosh Kumar Ramakrishnan Kristen Grauman 47 29 0 29 Jul 2018
Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias Abhinav Gupta Adithyavairavan Murali Dhiraj Gandhi Lerrel Pinto 11 152 0 18 Jul 2018
Online Robust Policy Learning in the Presence of Unknown Adversaries Aaron J. Havens Zhanhong Jiang Soumik Sarkar AAML 24 43 0 16 Jul 2018
Visual Reinforcement Learning with Imagined Goals Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine SSL 43 535 0 12 Jul 2018
Learning Neural Models for End-to-End Clustering B. Meier Ismail Elezi Mohammadreza Amirian Oliver Durr Thilo Stadelmann SSL 22 16 0 11 Jul 2018
End-to-End Race Driving with Deep Reinforcement Learning M. Jaritz Raoul de Charette Marin Toromanoff E. Perot F. Nashashibi 16 167 0 06 Jul 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