End-to-End Training of Deep Visuomotor Policies

2 April 2015

Pieter Abbeel

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

50 / 920 papers shown

Title
Deep Reinforcement Learning: An Overview Seyed Sajad Mousavi Michael Schukat Enda Howley 21 45 0 23 Jun 2018
Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation Peter R. Florence Lucas Manuelli Russ Tedrake SSL 57 277 0 22 Jun 2018
Online Linear Quadratic Control Alon Cohen Avinatan Hassidim Tomer Koren N. Lazić Yishay Mansour Kunal Talwar 19 148 0 19 Jun 2018
BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning Boris Ivanovic James Harrison Apoorva Sharma Mo Chen Marco Pavone OffRL 32 57 0 16 Jun 2018
PAC-Bayes Control: Learning Policies that Provably Generalize to Novel Environments Anirudha Majumdar M. Goldstein Anoopkumar Sonar 23 18 0 11 Jun 2018
Learning an Approximate Model Predictive Controller with Guarantees Michael Hertneck Johannes Köhler Sebastian Trimpe Frank Allgöwer 37 221 0 11 Jun 2018
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings John D. Co-Reyes YuXuan Liu Abhishek Gupta Benjamin Eysenbach Pieter Abbeel Sergey Levine SSL BDL AIFin 37 142 0 07 Jun 2018
Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning Valts Blukis Nataly Brukhim Andrew Bennett Ross A. Knepper Yoav Artzi 16 62 0 31 May 2018
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning Kelvin Xu Ellis Ratner Anca Dragan Sergey Levine Chelsea Finn 27 66 0 31 May 2018
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition Justin Fu Avi Singh Dibya Ghosh Larry Yang Sergey Levine BDL 14 125 0 29 May 2018
Improved Mixed-Example Data Augmentation Cecilia Summers M. Dinneen 35 159 0 29 May 2018
Dual Policy Iteration Wen Sun Geoffrey J. Gordon Byron Boots J. Andrew Bagnell OffRL 18 56 0 28 May 2018
Learning Self-Imitating Diverse Policies Tanmay Gangwani Qiang Liu Jian Peng 29 65 0 25 May 2018
A Framework for Robot Manipulation: Skill Formalism, Meta Learning and Adaptive Control Lars Johannsmeier Malkin Gerchow Sami Haddadin 21 109 0 22 May 2018
Graph Signal Sampling via Reinforcement Learning Oleksii Abramenko A. Jung 24 5 0 15 May 2018
Learning to Grasp Without Seeing Adithyavairavan Murali Yin Li Dhiraj Gandhi Abhinav Gupta SSL 30 62 0 10 May 2018
Policy Optimization with Second-Order Advantage Information Jiajin Li Baoxiang Wang 22 6 0 09 May 2018
Exploration by Distributional Reinforcement Learning Yunhao Tang Shipra Agrawal OOD 41 30 0 04 May 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review Sergey Levine AI4CE BDL 33 662 0 02 May 2018
The Limits and Potentials of Deep Learning for Robotics Niko Sünderhauf Oliver Brock Walter J. Scheirer R. Hadsell Dieter Fox ... B. Upcroft Pieter Abbeel Wolfram Burgard Michael Milford Peter Corke 17 522 0 18 Apr 2018
Universal Planning Networks A. Srinivas Allan Jabri Pieter Abbeel Sergey Levine Chelsea Finn SSL 30 145 0 02 Apr 2018
Finite-Data Performance Guarantees for the Output-Feedback Control of an Unknown System Ross Boczar Nikolai Matni Benjamin Recht 18 45 0 25 Mar 2018
Learning Robotic Assembly from CAD G. Thomas Melissa Chien Aviv Tamar J. A. Ojea Pieter Abbeel 23 150 0 20 Mar 2018
A Survey of Deep Learning Techniques for Mobile Robot Applications Jahanzaib Shabbir T. Anwer 26 36 0 20 Mar 2018
Optimizing Sponsored Search Ranking Strategy by Deep Reinforcement Learning Li He Liang Wang Kaipeng Liu Bo Wu Weinan Zhang 29 7 0 20 Mar 2018
Setting up a Reinforcement Learning Task with a Real-World Robot A. R. Mahmood D. Korenkevych Brent Komer James Bergstra 26 75 0 19 Mar 2018
Composable Deep Reinforcement Learning for Robotic Manipulation Tuomas Haarnoja Vitchyr H. Pong Aurick Zhou Murtaza Dalal Pieter Abbeel Sergey Levine 30 230 0 19 Mar 2018
A Classification-based Approach for Approximate Reachability Vicencc Rubies-Royo David Fridovich-Keil Sylvia Herbert Claire Tomlin 21 36 0 08 Mar 2018
Generating Goal-Directed Visuomotor Plans Based on Learning Using a Predictive Coding-type Deep Visuomotor Recurrent Neural Network Model Minkyu Choi Takazumi Matsumoto Minju Jung Jun Tani 16 4 0 07 Mar 2018
Classification based Grasp Detection using Spatial Transformer Network Dongwon Park S. Chun 20 38 0 04 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches Md. Zahangir Alom T. Taha C. Yakopcic Stefan Westberg P. Sidike Mst Shamima Nasrin B. Van Essen A. Awwal V. Asari VLM 29 875 0 03 Mar 2018
Reinforcement and Imitation Learning for Diverse Visuomotor Skills Yuke Zhu Ziyun Wang J. Merel Andrei A. Rusu Tom Erez ... S. Tunyasuvunakool János Kramár R. Hadsell Nando de Freitas N. Heess SSL 34 316 0 26 Feb 2018
Temporal Difference Models: Model-Free Deep RL for Model-Based Control Vitchyr H. Pong S. Gu Murtaza Dalal Sergey Levine OffRL 66 238 0 25 Feb 2018
Structured Control Nets for Deep Reinforcement Learning Mario Srouji Jian Zhang Ruslan Salakhutdinov 33 43 0 22 Feb 2018
Clipped Action Policy Gradient Yasuhiro Fujita S. Maeda OffRL 34 37 0 21 Feb 2018
Joint Demosaicing and Denoising with Perceptual Optimization on a Generative Adversarial Network W. Dong Mingrui Yuan Xin Li Guangming Shi GAN 41 32 0 13 Feb 2018
Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator Maryam Fazel Rong Ge Sham Kakade M. Mesbahi 35 597 0 15 Jan 2018
Generating Adversarial Examples with Adversarial Networks Chaowei Xiao Bo-wen Li Jun-Yan Zhu Warren He M. Liu D. Song GAN AAML 37 890 0 08 Jan 2018
Building Generalizable Agents with a Realistic and Rich 3D Environment Yi Wu Yuxin Wu Georgia Gkioxari Yuandong Tian 3DV 62 338 0 07 Jan 2018
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator Stephen Tu Benjamin Recht OffRL 37 130 0 22 Dec 2017
Unifying Map and Landmark Based Representations for Visual Navigation Saurabh Gupta David Fouhey Sergey Levine Jitendra Malik 29 76 0 21 Dec 2017
Learning Intelligent Dialogs for Bounding Box Annotation Ksenia Konyushkova J. Uijlings Christoph H. Lampert V. Ferrari AAML VLM 29 43 0 21 Dec 2017
Sim2Real View Invariant Visual Servoing by Recurrent Control Fereshteh Sadeghi Alexander Toshev Eric Jang Sergey Levine 19 98 0 20 Dec 2017
Revisiting the Master-Slave Architecture in Multi-Agent Deep Reinforcement Learning Xiangyu Kong Bo Xin Fangchen Liu Yizhou Wang 21 44 0 20 Dec 2017
DeepPicar: A Low-cost Deep Neural Network-based Autonomous Car Michael Bechtel Elise McEllhiney Minje Kim H. Yun 30 103 0 19 Dec 2017
A Berkeley View of Systems Challenges for AI Ion Stoica D. Song Raluca A. Popa D. Patterson Michael W. Mahoney ... Joseph E. Gonzalez Ken Goldberg A. Ghodsi David Culler Pieter Abbeel 30 199 0 15 Dec 2017
Variational Deep Q Network Yunhao Tang A. Kucukelbir BDL 38 10 0 30 Nov 2017
Divide-and-Conquer Reinforcement Learning Dibya Ghosh Avi Singh Aravind Rajeswaran Vikash Kumar Sergey Levine OffRL 45 125 0 27 Nov 2017
Cascade Attribute Learning Network Zhuo Xu Haonan Chang Masayoshi Tomizuka 33 4 0 24 Nov 2017
Integral Human Pose Regression Xiao Sun Bin Xiao Fangyin Wei Shuang Liang Yichen Wei 3DH 44 803 0 22 Nov 2017