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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
Deep Reinforcement Learning For Sequence to Sequence Models Yaser Keneshloo Tian Shi Naren Ramakrishnan Chandan K. Reddy AIMat 3DV OffRL 103 211 0 24 May 2018
A Framework for Robot Manipulation: Skill Formalism, Meta Learning and Adaptive Control Lars Johannsmeier Malkin Gerchow Sami Haddadin 73 113 0 22 May 2018
Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients Arbaaz Khan Clark Zhang Daniel D. Lee Vijay Kumar Alejandro Ribeiro 69 30 0 22 May 2018
Learning Attentional Communication for Multi-Agent Cooperation Jiechuan Jiang Zongqing Lu 100 489 0 20 May 2018
Learning and Inferring Movement with Deep Generative Model Mingxuan Jing Xiaojian Ma F. Sun Huaping Liu GAN 66 2 0 18 May 2018
Graph Signal Sampling via Reinforcement Learning Oleksii Abramenko A. Jung 48 5 0 15 May 2018
Learning to Grasp Without Seeing Adithyavairavan Murali Yin Li Dhiraj Gandhi Abhinav Gupta SSL 103 63 0 10 May 2018
Policy Optimization with Second-Order Advantage Information Jiajin Li Baoxiang Wang 49 6 0 09 May 2018
Exploration by Distributional Reinforcement Learning Yunhao Tang Shipra Agrawal OOD 86 31 0 04 May 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review Sergey Levine AI4CE BDL 143 677 0 02 May 2018
Deep Reinforcement Learning to Acquire Navigation Skills for Wheel-Legged Robots in Complex Environments Xi Chen Ali Ghadirzadeh John Folkesson Patric Jensfelt 102 44 0 27 Apr 2018
Cell Selection with Deep Reinforcement Learning in Sparse Mobile Crowdsensing Leye Wang Wenbin Liu Daqing Zhang Yasha Wang E. Wang Yongjian Yang 44 32 0 19 Apr 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 109 530 0 18 Apr 2018
An information-theoretic on-line update principle for perception-action coupling Zhen Peng Tim Genewein Felix Leibfried Daniel A. Braun 96 13 0 16 Apr 2018
Intrinsically motivated reinforcement learning for human-robot interaction in the real-world A. H. Qureshi Yutaka Nakamura Yuichiro Yoshikawa H. Ishiguro 55 59 0 14 Apr 2018
Universal Successor Representations for Transfer Reinforcement Learning Chen Ma Junfeng Wen Yoshua Bengio OffRL 42 33 0 11 Apr 2018
Latent Space Policies for Hierarchical Reinforcement Learning Tuomas Haarnoja Kristian Hartikainen Pieter Abbeel Sergey Levine BDL 89 193 0 09 Apr 2018
Universal Planning Networks A. Srinivas Allan Jabri Pieter Abbeel Sergey Levine Chelsea Finn SSL 88 145 0 02 Apr 2018
Artificial Intelligence and its Role in Near Future Jahanzaib Shabbir T. Anwer 44 144 0 01 Apr 2018
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning Anusha Nagabandi I. Clavera Simin Liu R. Fearing Pieter Abbeel Sergey Levine Chelsea Finn 219 556 0 30 Mar 2018
Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning Andy Zeng Shuran Song Stefan Welker Johnny Lee Alberto Rodriguez Thomas Funkhouser SSL 142 572 0 27 Mar 2018
Finite-Data Performance Guarantees for the Output-Feedback Control of an Unknown System Ross Boczar Nikolai Matni Benjamin Recht 95 45 0 25 Mar 2018
Learning Robotic Assembly from CAD G. Thomas Melissa Chien Aviv Tamar J. A. Ojea Pieter Abbeel 73 151 0 20 Mar 2018
A Survey of Deep Learning Techniques for Mobile Robot Applications Jahanzaib Shabbir T. Anwer 104 36 0 20 Mar 2018
Optimizing Sponsored Search Ranking Strategy by Deep Reinforcement Learning Li He Liang Wang Kaipeng Liu Bo Wu Weinan Zhang 41 7 0 20 Mar 2018
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines Cathy Wu Aravind Rajeswaran Yan Duan Vikash Kumar Alexandre M. Bayen Sham Kakade Igor Mordatch Pieter Abbeel OffRL 100 153 0 20 Mar 2018
Setting up a Reinforcement Learning Task with a Real-World Robot A. R. Mahmood D. Korenkevych Brent Komer James Bergstra 81 77 0 19 Mar 2018
Composable Deep Reinforcement Learning for Robotic Manipulation Tuomas Haarnoja Vitchyr H. Pong Aurick Zhou Murtaza Dalal Pieter Abbeel Sergey Levine 152 234 0 19 Mar 2018
Learning to Explore with Meta-Policy Gradient Tianbing Xu Qiang Liu Liang Zhao Jian Peng 74 54 0 13 Mar 2018
Comparing Task Simplifications to Learn Closed-Loop Object Picking Using Deep Reinforcement Learning Michel Breyer Fadri Furrer Tonci Novkovic Roland Siegwart Juan I. Nieto SSL OffRL 92 47 0 13 Mar 2018
Learning Partially Structured Environmental Dynamics for Marine Robotic Navigation Chen Huang Kai-Li Yin Lantao Liu 34 1 0 11 Mar 2018
A Classification-based Approach for Approximate Reachability Vicencc Rubies-Royo David Fridovich-Keil Sylvia Herbert Claire Tomlin 62 37 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 57 4 0 07 Mar 2018
Classification based Grasp Detection using Spatial Transformer Network Dongwon Park S. Chun 68 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 133 883 0 03 Mar 2018
Model-Ensemble Trust-Region Policy Optimization Thanard Kurutach I. Clavera Yan Duan Aviv Tamar Pieter Abbeel 84 453 0 28 Feb 2018
Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods Deirdre Quillen Eric Jang Ofir Nachum Chelsea Finn Julian Ibarz Sergey Levine OOD OffRL 104 204 0 28 Feb 2018
Cloth Manipulation Using Random-Forest-Based Imitation Learning Biao Jia Zherong Pan Zhe Hu Jia Pan Tianyi Zhou 55 36 0 27 Feb 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 140 320 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 174 240 0 25 Feb 2018
Structured Control Nets for Deep Reinforcement Learning Mario Srouji Jian Zhang Ruslan Salakhutdinov 81 43 0 22 Feb 2018
Clipped Action Policy Gradient Yasuhiro Fujita S. Maeda OffRL 53 37 0 21 Feb 2018
Meta-Reinforcement Learning of Structured Exploration Strategies Abhishek Gupta Russell Mendonca YuXuan Liu Pieter Abbeel Sergey Levine OffRL 153 350 0 20 Feb 2018
Reinforcement Learning from Imperfect Demonstrations Yang Gao Huazhe Xu Ji Lin Feng Yu Sergey Levine Trevor Darrell 86 202 0 14 Feb 2018
Joint Demosaicing and Denoising with Perceptual Optimization on a Generative Adversarial Network W. Dong Mingrui Yuan Xin Li Guangming Shi GAN 49 32 0 13 Feb 2018
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning Tianhe Yu Chelsea Finn Annie Xie Sudeep Dasari Tianhao Zhang Pieter Abbeel Sergey Levine 91 361 0 05 Feb 2018
Numerical Coordinate Regression with Convolutional Neural Networks Aiden Nibali Zhen He Stuart Morgan L. Prendergast 3DPC 240 213 0 23 Jan 2018
Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator Maryam Fazel Rong Ge Sham Kakade M. Mesbahi 126 610 0 15 Jan 2018
Generating Adversarial Examples with Adversarial Networks Chaowei Xiao Yue Liu Jun-Yan Zhu Warren He M. Liu Basel Alomair GAN AAML 137 906 0 08 Jan 2018
Building Generalizable Agents with a Realistic and Rich 3D Environment Yi Wu Yuxin Wu Georgia Gkioxari Yuandong Tian 3DV 153 339 0 07 Jan 2018