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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
Probabilistically Safe Policy Transfer David Held Zoe McCarthy Michael Zhang Fred Shentu Pieter Abbeel 86 19 0 15 May 2017
Discrete Sequential Prediction of Continuous Actions for Deep RL Luke Metz Julian Ibarz Navdeep Jaitly James Davidson BDL OffRL 96 121 0 14 May 2017
Metacontrol for Adaptive Imagination-Based Optimization Jessica B. Hamrick A. J. Ballard Razvan Pascanu Oriol Vinyals N. Heess Peter W. Battaglia 76 69 0 07 May 2017
Navigating Occluded Intersections with Autonomous Vehicles using Deep Reinforcement Learning David Isele Reza Rahimi Akansel Cosgun K. Subramanian K. Fujimura 86 137 0 02 May 2017
Mapping Instructions and Visual Observations to Actions with Reinforcement Learning Dipendra Kumar Misra John Langford Yoav Artzi 96 247 0 28 Apr 2017
Obstacle Avoidance through Deep Networks based Intermediate Perception Shichao Yang Sandeep Konam Chen Ma Stephanie Rosenthal Manuela Veloso Sebastian Scherer 73 39 0 27 Apr 2017
Deep Q-learning from Demonstrations Todd Hester Matej Vecerík Olivier Pietquin Marc Lanctot Tom Schaul ... Gabriel Dulac-Arnold Ian Osband J. Agapiou Joel Z Leibo A. Gruslys OffRL 98 157 0 12 Apr 2017
Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning Baolin Peng Xiujun Li Lihong Li Jianfeng Gao Asli Celikyilmaz Sungjin Lee Kam-Fai Wong BDL 109 190 0 10 Apr 2017
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation I. Popov N. Heess Timothy Lillicrap Roland Hafner Gabriel Barth-Maron Matej Vecerík Thomas Lampe Yuval Tassa Tom Erez Martin Riedmiller OffRL 99 265 0 10 Apr 2017
Stochastic Neural Networks for Hierarchical Reinforcement Learning Carlos Florensa Yan Duan Pieter Abbeel BDL 126 361 0 10 Apr 2017
Learning Visual Servoing with Deep Features and Fitted Q-Iteration Alex X. Lee Sergey Levine Pieter Abbeel SSL 49 73 0 31 Mar 2017
Efficient Processing of Deep Neural Networks: A Tutorial and Survey Vivienne Sze Yu-hsin Chen Tien-Ju Yang J. Emer AAML 3DV 130 3,039 0 27 Mar 2017
On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations N. Cheney Martin Schrimpf Gabriel Kreiman OOD 80 45 0 23 Mar 2017
One-Shot Imitation Learning Yan Duan Marcin Andrychowicz Bradly C. Stadie Jonathan Ho Jonas Schneider Ilya Sutskever Pieter Abbeel Wojciech Zaremba OffRL 104 689 0 21 Mar 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 301 2,987 0 20 Mar 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning Tim Salimans Jonathan Ho Xi Chen Szymon Sidor Ilya Sutskever 187 1,545 0 10 Mar 2017
Real-time Perception meets Reactive Motion Generation Daniel Kappler Franziska Meier J. Issac Jim Mainprice C. Cifuentes Manuel Wüthrich V. Berenz S. Schaal Nathan D. Ratliff Jeannette Bohg 100 100 0 10 Mar 2017
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning Yevgen Chebotar Karol Hausman Marvin Zhang Gaurav Sukhatme S. Schaal Sergey Levine 95 160 0 08 Mar 2017
Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning Abhishek Gupta Coline Devin YuXuan Liu Pieter Abbeel Sergey Levine 101 269 0 08 Mar 2017
Towards Generalization and Simplicity in Continuous Control Aravind Rajeswaran Kendall Lowrey E. Todorov Sham Kakade OffRL 127 276 0 08 Mar 2017
What Would You Do? Acting by Learning to Predict Adam W. Tow Niko Sünderhauf S. Shirazi Michael Milford Jurgen Leitner LM&Ro 50 6 0 08 Mar 2017
Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation Ashvin Nair Dian Chen Pulkit Agrawal Phillip Isola Pieter Abbeel Jitendra Malik Sergey Levine SSL 103 312 0 06 Mar 2017
Third-Person Imitation Learning Bradly C. Stadie Pieter Abbeel Ilya Sutskever 109 234 0 06 Mar 2017
Perceiving and Reasoning About Liquids Using Fully Convolutional Networks Connor Schenck Dieter Fox 149 33 0 05 Mar 2017
FeUdal Networks for Hierarchical Reinforcement Learning A. Vezhnevets Simon Osindero Tom Schaul N. Heess Max Jaderberg David Silver Koray Kavukcuoglu FedML 116 910 0 03 Mar 2017
Learning Robot Activities from First-Person Human Videos Using Convolutional Future Regression Jangwon Lee Michael S. Ryoo 58 13 0 03 Mar 2017
Deep Predictive Policy Training using Reinforcement Learning Ali Ghadirzadeh A. Maki Danica Kragic Mårten Björkman 94 130 0 02 Mar 2017
Learning to Optimize Neural Nets Ke Li Jitendra Malik 111 132 0 01 Mar 2017
Bridging the Gap Between Value and Policy Based Reinforcement Learning Ofir Nachum Mohammad Norouzi Kelvin Xu Dale Schuurmans 210 478 0 28 Feb 2017
Neural Map: Structured Memory for Deep Reinforcement Learning Emilio Parisotto Ruslan Salakhutdinov 116 261 0 27 Feb 2017
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 129 1,352 0 27 Feb 2017
How hard is it to cross the room? -- Training (Recurrent) Neural Networks to steer a UAV Klaas Kelchtermans Tinne Tuytelaars 52 34 0 24 Feb 2017
Cognitive Mapping and Planning for Visual Navigation Saurabh Gupta Varun Tolani James Davidson Sergey Levine Rahul Sukthankar Jitendra Malik 143 715 0 13 Feb 2017
Preparing for the Unknown: Learning a Universal Policy with Online System Identification Wenhao Yu Jie Tan Chenxi Liu Greg Turk OffRL 124 309 0 08 Feb 2017
Adversarial Attacks on Neural Network Policies Sandy Huang Nicolas Papernot Ian Goodfellow Yan Duan Pieter Abbeel MLAU AAML 131 842 0 08 Feb 2017
Uncertainty-Aware Reinforcement Learning for Collision Avoidance G. Kahn Adam R. Villaflor Vitchyr H. Pong Pieter Abbeel Sergey Levine 107 317 0 03 Feb 2017
Deep Reinforcement Learning for Robotic Manipulation-The state of the art S. Amarjyoti 56 66 0 31 Jan 2017
Expert Level control of Ramp Metering based on Multi-task Deep Reinforcement Learning Francois Belletti Daniel Haziza G. Gomes Alexandre M. Bayen 59 139 0 30 Jan 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 352 1,551 0 25 Jan 2017
Modeling Grasp Motor Imagery through Deep Conditional Generative Models M. Veres M. Moussa Graham W. Taylor GAN 77 37 0 11 Jan 2017
Microstructure Representation and Reconstruction of Heterogeneous Materials via Deep Belief Network for Computational Material Design Ruijin Cang Yaopengxiao Xu Shaohua Chen Yongming Liu Yang Jiao Max Yi Ren AI4CE 3DV 110 158 0 22 Dec 2016
Loss is its own Reward: Self-Supervision for Reinforcement Learning Evan Shelhamer Parsa Mahmoudieh Max Argus Trevor Darrell SSL 105 186 0 21 Dec 2016
A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation L. Tai Jingwei Zhang Ming-Yuan Liu Joschka Boedecker Wolfram Burgard OffRL 149 78 0 21 Dec 2016
Unsupervised Perceptual Rewards for Imitation Learning P. Sermanet Kelvin Xu Sergey Levine SSL 149 160 0 20 Dec 2016
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale F. Iandola 3DV 50 19 0 20 Dec 2016
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments Jingwei Zhang Jost Tobias Springenberg Joschka Boedecker Wolfram Burgard 85 295 0 16 Dec 2016
Reinforcement Learning With Temporal Logic Rewards Xiao Li C. Vasile C. Belta 101 219 0 11 Dec 2016
Generalizing Skills with Semi-Supervised Reinforcement Learning Chelsea Finn Tianhe Yu Justin Fu Pieter Abbeel Sergey Levine OffRL SSL 111 69 0 01 Dec 2016
Robotic Grasp Detection using Deep Convolutional Neural Networks Sulabh Kumra Christopher Kanan 100 424 0 24 Nov 2016
Learning Dexterous Manipulation Policies from Experience and Imitation Vikash Kumar Abhishek Gupta E. Todorov Sergey Levine 94 84 0 15 Nov 2016