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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 / 1,178 papers shown

Title
Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning Charles B. Schaff David Yunis Ayan Chakrabarti Matthew R. Walter 100 101 0 04 Jan 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 516 8,489 0 04 Jan 2018
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator Stephen Tu Benjamin Recht OffRL 83 131 0 22 Dec 2017
Unifying Map and Landmark Based Representations for Visual Navigation Saurabh Gupta David Fouhey Sergey Levine Jitendra Malik 91 76 0 21 Dec 2017
Learning Intelligent Dialogs for Bounding Box Annotation Ksenia Konyushkova J. Uijlings Christoph H. Lampert V. Ferrari AAML VLM 122 43 0 21 Dec 2017
Sim2Real View Invariant Visual Servoing by Recurrent Control Fereshteh Sadeghi Alexander Toshev Eric Jang Sergey Levine 66 99 0 20 Dec 2017
Revisiting the Master-Slave Architecture in Multi-Agent Deep Reinforcement Learning Xiangyu Kong Bo Xin Fangchen Liu Yizhou Wang 47 44 0 20 Dec 2017
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning Tianmin Shu Caiming Xiong R. Socher OffRL 173 140 0 20 Dec 2017
DeepPicar: A Low-cost Deep Neural Network-based Autonomous Car Michael Bechtel Elise McEllhiney Minje Kim H. Yun 93 103 0 19 Dec 2017
A Berkeley View of Systems Challenges for AI Ion Stoica Basel Alomair Raluca A. Popa D. Patterson Michael W. Mahoney ... Joseph E. Gonzalez Ken Goldberg A. Ghodsi David Culler Pieter Abbeel 87 201 0 15 Dec 2017
Safe Policy Search with Gaussian Process Models Kyriakos Polymenakos Alessandro Abate Stephen J. Roberts 65 4 0 15 Dec 2017
Motion Switching with Sensory and Instruction Signals by designing Dynamical Systems using Deep Neural Network Kanata Suzuki Hiroki Mori T. Ogata 52 20 0 14 Dec 2017
Robust Deep Reinforcement Learning with Adversarial Attacks Anay Pattanaik Zhenyi Tang Shuijing Liu Gautham Bommannan Girish Chowdhary OOD 87 309 0 11 Dec 2017
IQA: Visual Question Answering in Interactive Environments Daniel Gordon Aniruddha Kembhavi Mohammad Rastegari Joseph Redmon Dieter Fox Ali Farhadi LM&Ro 146 391 0 09 Dec 2017
Embodied Question Answering Abhishek Das Samyak Datta Georgia Gkioxari Stefan Lee Devi Parikh Dhruv Batra LM&Ro 122 652 0 30 Nov 2017
Variational Deep Q Network Yunhao Tang A. Kucukelbir BDL 95 10 0 30 Nov 2017
One-Shot Reinforcement Learning for Robot Navigation with Interactive Replay Jake Bruce Niko Sünderhauf Piotr Wojciech Mirowski R. Hadsell Michael Milford 93 60 0 28 Nov 2017
Divide-and-Conquer Reinforcement Learning Dibya Ghosh Avi Singh Aravind Rajeswaran Vikash Kumar Sergey Levine OffRL 117 127 0 27 Nov 2017
Cascade Attribute Learning Network Zhuo Xu Haonan Chang Masayoshi Tomizuka 50 4 0 24 Nov 2017
Integral Human Pose Regression Xiao Sun Bin Xiao Fangyin Wei Shuang Liang Yichen Wei 3DH 149 811 0 22 Nov 2017
Learning to Imagine Manipulation Goals for Robot Task Planning Chris Paxton Kapil D. Katyal Christian Rupprecht R. Arora Gregory Hager SSL 46 1 0 08 Nov 2017
Policy Optimization by Genetic Distillation Tanmay Gangwani Jian-wei Peng 72 18 0 03 Nov 2017
Regret Minimization for Partially Observable Deep Reinforcement Learning Peter H. Jin Kurt Keutzer Sergey Levine 99 51 0 31 Oct 2017
Learning Motion Predictors for Smart Wheelchair using Autoregressive Sparse Gaussian Process Zicong Fan Lili Meng T. Chen Jingchun Li Ian M. Mitchell 20 6 0 31 Oct 2017
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning Justin Fu Katie Z Luo Sergey Levine 149 757 0 30 Oct 2017
Asymmetric Actor Critic for Image-Based Robot Learning Lerrel Pinto Marcin Andrychowicz Peter Welinder Wojciech Zaremba Pieter Abbeel OffRL 94 375 0 18 Oct 2017
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization Xue Bin Peng Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel 174 1,371 0 18 Oct 2017
Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation Kuan Fang Yunfei Bai Stefan Hinterstoißer Silvio Savarese Mrinal Kalakrishnan OOD 78 117 0 17 Oct 2017
Stochastic Variance Reduction for Policy Gradient Estimation Tianbing Xu Qiang Liu Jian-wei Peng 67 19 0 17 Oct 2017
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation Wei Gao David Hsu Wee Sun Lee Shengmei Shen K. Subramanian 85 116 0 16 Oct 2017
Flow: A Modular Learning Framework for Mixed Autonomy Traffic Cathy Wu Abdul Rahman Kreidieh Kanaad Parvate Eugene Vinitsky Alexandre M. Bayen 114 162 0 16 Oct 2017
Transfer of Tool Affordance and Manipulation Cues with 3D Vision Data Paulo Abelha Frank Guerin 46 6 0 13 Oct 2017
Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation Tianhao Zhang Zoe McCarthy Owen Jow Dennis Lee Xi Chen Ken Goldberg Pieter Abbeel SSL 193 663 0 12 Oct 2017
Combining Learned and Analytical Models for Predicting Action Effects from Sensory Data Alina Kloss S. Schaal Jeannette Bohg 82 86 0 11 Oct 2017
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning Aleksandra Faust Oscar Ramirez Marek Fiser Kenneth Oslund Anthony G. Francis James Davidson Lydia Tapia 97 292 0 11 Oct 2017
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments Maruan Al-Shedivat Trapit Bansal Yuri Burda Ilya Sutskever Igor Mordatch Pieter Abbeel CLL 90 354 0 10 Oct 2017
On the Sample Complexity of the Linear Quadratic Regulator Sarah Dean Horia Mania Nikolai Matni Benjamin Recht Stephen Tu 128 580 0 04 Oct 2017
Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight Yen-Chen Lin Ming-Yuan Liu Min Sun Jia-Bin Huang AAML 110 49 0 02 Oct 2017
SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Planning and Control Arunkumar Byravan Felix Leeb Franziska Meier Dieter Fox 91 40 0 02 Oct 2017
Parameter Sharing Deep Deterministic Policy Gradient for Cooperative Multi-agent Reinforcement Learning Xiangxiang Chu Hangjun Ye 74 56 0 01 Oct 2017
Learning a Structured Neural Network Policy for a Hopping Task Julian Viereck Jules Kozolinsky Alexander Herzog Ludovic Righetti 89 12 0 29 Sep 2017
Overcoming Exploration in Reinforcement Learning with Demonstrations Ashvin Nair Bob McGrew Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel OffRL 206 792 0 28 Sep 2017
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations Aravind Rajeswaran Vikash Kumar Abhishek Gupta Giulia Vezzani John Schulman E. Todorov Sergey Levine 265 1,107 0 28 Sep 2017
Are we done with object recognition? The iCub robot's perspective Giulia Pasquale C. Ciliberto Francesca Odone Lorenzo Rosasco Lorenzo Natale 105 42 0 28 Sep 2017
A Policy Search Method For Temporal Logic Specified Reinforcement Learning Tasks Xiao Li Yao Ma C. Belta 75 59 0 27 Sep 2017
Predictive-State Decoders: Encoding the Future into Recurrent Networks Arun Venkatraman Nicholas Rhinehart Wen Sun Lerrel Pinto M. Hebert Byron Boots Kris Kitani J. Andrew Bagnell AI4CE 121 43 0 25 Sep 2017
Learning Unmanned Aerial Vehicle Control for Autonomous Target Following Siyi Li Tianbo Liu Fangqiu Yi Dit-Yan Yeung Shaojie Shen 53 38 0 24 Sep 2017
OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World Tu-Hoa Pham Giovanni De Magistris Ryuki Tachibana OffRL 78 143 0 22 Sep 2017
Agile Autonomous Driving using End-to-End Deep Imitation Learning Yunpeng Pan Ching-An Cheng Kamil Saigol Keuntaek Lee Xinyan Yan Evangelos Theodorou Byron Boots 126 54 0 21 Sep 2017
Adversarial Discriminative Sim-to-real Transfer of Visuo-motor Policies Fangyi Zhang Jurgen Leitner Zongyuan Ge Michael Milford Peter Corke 74 37 0 18 Sep 2017