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End-to-End Training of Deep Visuomotor Policies

2 April 2015

Pieter Abbeel

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

50 / 1,175 papers shown

Title
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 136 1,029 0 09 Nov 2016
Recursive Regression with Neural Networks: Approximating the HJI PDE Solution Vicencc Rubies-Royo Claire Tomlin 81 20 0 08 Nov 2016
Designing Neural Network Architectures using Reinforcement Learning Bowen Baker O. Gupta Nikhil Naik Ramesh Raskar 141 1,472 0 07 Nov 2016
Combining policy gradient and Q-learning Brendan O'Donoghue Rémi Munos Koray Kavukcuoglu Volodymyr Mnih OffRL OnRL 109 140 0 05 Nov 2016
Sample Efficient Actor-Critic with Experience Replay Ziyun Wang V. Bapst N. Heess Volodymyr Mnih Rémi Munos Koray Kavukcuoglu Nando de Freitas 145 763 0 03 Nov 2016
Combating Reinforcement Learning's Sisyphean Curse with Intrinsic Fear Zachary Chase Lipton Kamyar Azizzadenesheli Jianfeng Gao Lihong Li Jianshu Chen Li Deng 145 34 0 03 Nov 2016
Learning Locomotion Skills Using DeepRL: Does the Choice of Action Space Matter? Xue Bin Peng M. van de Panne 102 182 0 03 Nov 2016
Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics J. M. Wong 86 11 0 01 Nov 2016
Modular Deep Q Networks for Sim-to-real Transfer of Visuo-motor Policies Fangyi Zhang Jurgen Leitner Michael Milford Peter Corke 114 39 0 21 Oct 2016
Utilization of Deep Reinforcement Learning for saccadic-based object visual search Tomasz Kornuta K. Rocki 31 1 0 20 Oct 2016
Learning and Transfer of Modulated Locomotor Controllers N. Heess Greg Wayne Yuval Tassa Timothy Lillicrap Martin Riedmiller David Silver 99 208 0 17 Oct 2016
Recurrent 3D Attentional Networks for End-to-End Active Object Recognition Min Liu Yifei Shi Lintao Zheng Kai Xu Hui Huang Dinesh Manocha 3DPC 71 10 0 14 Oct 2016
Sim-to-Real Robot Learning from Pixels with Progressive Nets Andrei A. Rusu Matej Vecerík Thomas Rothörl N. Heess Razvan Pascanu R. Hadsell 136 535 0 13 Oct 2016
Learning Feedback Terms for Reactive Planning and Control Akshara Rai Giovanni Sutanto S. Schaal Franziska Meier 69 39 0 11 Oct 2016
Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets Manuel Amthor E. Rodner Joachim Denzler 119 17 0 10 Oct 2016
Multi-Objective Deep Reinforcement Learning Hossam Mossalam Yannis Assael D. Roijers Shimon Whiteson 83 155 0 09 Oct 2016
Supervision via Competition: Robot Adversaries for Learning Tasks Lerrel Pinto James Davidson Abhinav Gupta SSL 96 82 0 05 Oct 2016
Comparing Human-Centric and Robot-Centric Sampling for Robot Deep Learning from Demonstrations Michael Laskey Caleb Chuck Jonathan Lee Jeffrey Mahler S. Krishnan Kevin Jamieson Anca Dragan Ken Goldberg 111 74 0 04 Oct 2016
Deep Visual Foresight for Planning Robot Motion Chelsea Finn Sergey Levine 171 789 0 03 Oct 2016
Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search Ali Yahya A. Li Mrinal Kalakrishnan Yevgen Chebotar Sergey Levine OffRL 107 155 0 03 Oct 2016
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates S. Gu E. Holly Timothy Lillicrap Sergey Levine OffRL SSL 197 1,485 0 03 Oct 2016
Path Integral Guided Policy Search Yevgen Chebotar Mrinal Kalakrishnan Ali Yahya A. Li S. Schaal Sergey Levine 111 149 0 03 Oct 2016
Deep Reinforcement Learning for Tensegrity Robot Locomotion Marvin Zhang Xinyang Geng J. Bruce Ken Caluwaerts Massimo Vespignani Vytas SunSpiral Pieter Abbeel Sergey Levine 98 94 0 28 Sep 2016
From Perception to Decision: A Data-driven Approach to End-to-end Motion Planning for Autonomous Ground Robots Mark Pfeiffer Michaela Schaeuble Juan I. Nieto Roland Siegwart Cesar Cadena 96 384 0 26 Sep 2016
Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer Coline Devin Abhishek Gupta Trevor Darrell Pieter Abbeel Sergey Levine OffRL 96 401 0 22 Sep 2016
Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation Pinxin Long Wenxi Liu Jia Pan 77 166 0 22 Sep 2016
Playing FPS Games with Deep Reinforcement Learning Guillaume Lample Devendra Singh Chaplot OffRL EgoV 102 589 0 18 Sep 2016
Towards Deep Symbolic Reinforcement Learning M. Garnelo Kai Arulkumaran Murray Shanahan 121 226 0 18 Sep 2016
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning Yuke Zhu Roozbeh Mottaghi Eric Kolve Joseph J. Lim Abhinav Gupta Li Fei-Fei Ali Farhadi VGen 181 1,529 0 16 Sep 2016
3D Simulation for Robot Arm Control with Deep Q-Learning Stephen James Edward Johns 99 109 0 13 Sep 2016
Learning Transferable Policies for Monocular Reactive MAV Control S. Daftry J. Andrew Bagnell Martial Hebert 91 85 0 01 Aug 2016
Guided Policy Search as Approximate Mirror Descent William H. Montgomery Sergey Levine 82 126 0 15 Jul 2016
End-to-end training of object class detectors for mean average precision Paul Henderson V. Ferrari ObjD 87 275 0 12 Jul 2016
Learning to Poke by Poking: Experiential Learning of Intuitive Physics Pulkit Agrawal Ashvin Nair Pieter Abbeel Jitendra Malik Sergey Levine SSL 112 565 0 23 Jun 2016
A Hierarchical Reinforcement Learning Method for Persistent Time-Sensitive Tasks Xiao Li C. Belta 15 4 0 20 Jun 2016
Strategic Attentive Writer for Learning Macro-Actions Alexander A. Vezhnevets Volodymyr Mnih J. Agapiou Simon Osindero Alex Graves Oriol Vinyals Koray Kavukcuoglu 69 171 0 15 Jun 2016
Learning to Optimize Ke Li Jitendra Malik 70 258 0 06 Jun 2016
Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark Information Yoad Lewenberg Valliappa Chockalingam Satinder Singh Honglak Lee CVBM 81 305 0 29 May 2016
Learning Multiagent Communication with Backpropagation Sainbayar Sukhbaatar Arthur Szlam Rob Fergus 302 1,154 0 25 May 2016
Learning Relevant Features for Manipulation Skills using Meta-Level Priors Oliver Kroemer Gaurav Sukhatme SSL 38 17 0 14 May 2016
Look-ahead before you leap: end-to-end active recognition by forecasting the effect of motion Dinesh Jayaraman Kristen Grauman 82 91 0 30 Apr 2016
Convolutional Neural Networks For Automatic State-Time Feature Extraction in Reinforcement Learning Applied to Residential Load Control Bert Claessens Peter Vrancx F. Ruelens 50 124 0 28 Apr 2016
Benchmarking Deep Reinforcement Learning for Continuous Control Yan Duan Xi Chen Rein Houthooft John Schulman Pieter Abbeel OffRL 118 1,698 0 22 Apr 2016
Interactive Perception: Leveraging Action in Perception and Perception in Action Jeannette Bohg Karol Hausman Bharathwaj Sankaran Oliver Brock Danica Kragic S. Schaal Gaurav Sukhatme 165 306 0 13 Apr 2016
Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks Junyuan Xie Ross B. Girshick Ali Farhadi 3DH 116 429 0 13 Apr 2016
Learning Dexterous Manipulation for a Soft Robotic Hand from Human Demonstration Abhishek Gupta Clemens Eppner Sergey Levine Pieter Abbeel 102 173 0 21 Mar 2016
"What happens if..." Learning to Predict the Effect of Forces in Images Roozbeh Mottaghi Mohammad Rastegari Abhinav Gupta Ali Farhadi OOD 98 123 0 17 Mar 2016
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection Sergey Levine P. Pastor A. Krizhevsky Deirdre Quillen 215 2,078 0 07 Mar 2016
Continuous Deep Q-Learning with Model-based Acceleration S. Gu Timothy Lillicrap Ilya Sutskever Sergey Levine 127 1,013 0 02 Mar 2016
PLATO: Policy Learning using Adaptive Trajectory Optimization G. Kahn Tianhao Zhang Sergey Levine Pieter Abbeel 124 137 0 02 Mar 2016