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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 / 1,180 papers shown

Title
Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks Ramin M. Hasani Alexander Amini Mathias Lechner Felix Naser Radu Grosu Daniela Rus 57 25 0 11 Sep 2018
VPE: Variational Policy Embedding for Transfer Reinforcement Learning Isac Arnekvist Danica Kragic J. A. Stork OffRL 64 37 0 10 Sep 2018
Learning Adaptive Display Exposure for Real-Time Advertising Weixun Wang Junqi Jin Jianye Hao Chunjie Chen Chuan Yu ... Xiaotian Hao Yixi Wang Han Li Jian Xu Kun Gai 43 6 0 10 Sep 2018
Unity: A General Platform for Intelligent Agents Arthur Juliani Vincent-Pierre Berges Esh Vckay Andrew Cohen Jonathan Harper ... Chris Goy Yuan Gao Hunter Henry Marwan Mattar Danny Lange 96 822 0 07 Sep 2018
ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience Replay Sameera Lanka Tianfu Wu 66 30 0 06 Sep 2018
Model-Based Regularization for Deep Reinforcement Learning with Transcoder Networks Felix Leibfried Peter Vrancx OffRL 72 7 0 06 Sep 2018
A Robotic Auto-Focus System based on Deep Reinforcement Learning Xiaofan Yu Runze Yu Jingsong Yang Xiaohui Duan 28 9 0 05 Sep 2018
Gibson Env: Real-World Perception for Embodied Agents F. Xia Amir Zamir Zhi-Yang He Alexander Sax Jitendra Malik Silvio Savarese AI4CE LM&Ro 108 830 0 31 Aug 2018
How Robust is 3D Human Pose Estimation to Occlusion? István Sárándi Timm Linder Kai O. Arras Bastian Leibe 3DH 80 69 0 28 Aug 2018
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning Marvin Zhang Sharad Vikram Laura M. Smith Pieter Abbeel Matthew J. Johnson Sergey Levine OffRL 113 42 0 28 Aug 2018
Fully Distributed Multi-Robot Collision Avoidance via Deep Reinforcement Learning for Safe and Efficient Navigation in Complex Scenarios Tingxiang Fan Pinxin Long Wenxi Liu Jia Pan 65 69 0 11 Aug 2018
End-to-end Active Object Tracking and Its Real-world Deployment via Reinforcement Learning Wenhan Luo Peng Sun Fangwei Zhong Wen Liu Tong Zhang Yizhou Wang 75 127 0 10 Aug 2018
Sidekick Policy Learning for Active Visual Exploration Santhosh Kumar Ramakrishnan Kristen Grauman 142 29 0 29 Jul 2018
Learning Plannable Representations with Causal InfoGAN Thanard Kurutach Aviv Tamar Ge Yang Stuart J. Russell Pieter Abbeel GAN DRL 90 181 0 24 Jul 2018
CrowdMove: Autonomous Mapless Navigation in Crowded Scenarios Tingxiang Fan Xinjing Cheng Jia Pan Tianyi Zhou Ruigang Yang 91 53 0 19 Jul 2018
Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias Abhinav Gupta Adithyavairavan Murali Dhiraj Gandhi Lerrel Pinto 143 153 0 18 Jul 2018
Backplay: "Man muss immer umkehren" Cinjon Resnick R. Raileanu Sanyam Kapoor Alex Peysakhovich Kyunghyun Cho Joan Bruna OffRL 103 45 0 18 Jul 2018
Discrete linear-complexity reinforcement learning in continuous action spaces for Q-learning algorithms P. Tavallali G. Doran L. Mandrake 28 0 0 16 Jul 2018
Online Robust Policy Learning in the Presence of Unknown Adversaries Aaron J. Havens Zhanhong Jiang Soumik Sarkar AAML 120 44 0 16 Jul 2018
Remember and Forget for Experience Replay G. Novati Petros Koumoutsakos OffRL 108 92 0 16 Jul 2018
Visual Reinforcement Learning with Imagined Goals Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine SSL 123 544 0 12 Jul 2018
Learning Neural Models for End-to-End Clustering B. Meier Ismail Elezi Mohammadreza Amirian Oliver Durr Thilo Stadelmann SSL 61 17 0 11 Jul 2018
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees Yuping Luo Huazhe Xu Yuanzhi Li Yuandong Tian Trevor Darrell Tengyu Ma OffRL 136 227 0 10 Jul 2018
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution Rosanne Liu Joel Lehman Piero Molino F. Such Eric Frank Alexander Sergeev J. Yosinski 139 896 0 09 Jul 2018
Deep-Reinforcement-Learning for Gliding and Perching Bodies G. Novati L. Mahadevan Petros Koumoutsakos 77 9 0 07 Jul 2018
End-to-End Race Driving with Deep Reinforcement Learning M. Jaritz Raoul de Charette Marin Toromanoff E. Perot F. Nashashibi 60 169 0 06 Jul 2018
A survey on policy search algorithms for learning robot controllers in a handful of trials Konstantinos Chatzilygeroudis Vassilis Vassiliades F. Stulp Sylvain Calinon Jean-Baptiste Mouret 103 155 0 06 Jul 2018
Variance Reduction for Reinforcement Learning in Input-Driven Environments Hongzi Mao S. Venkatakrishnan Malte Schwarzkopf Mohammad Alizadeh OffRL 104 95 0 06 Jul 2018
Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation Lu Wang Wei Zhang Xiaofeng He H. Zha 91 264 0 04 Jul 2018
End-to-End Deep Imitation Learning: Robot Soccer Case Study O. Asik Binnur Görer H. L. Akin 28 7 0 28 Jun 2018
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation Dmitry Kalashnikov A. Irpan P. Pastor Julian Ibarz Alexander Herzog ... Deirdre Quillen E. Holly Mrinal Kalakrishnan Vincent Vanhoucke Sergey Levine 221 1,474 0 27 Jun 2018
A Tour of Reinforcement Learning: The View from Continuous Control Benjamin Recht 137 635 0 25 Jun 2018
Deep Reinforcement Learning: An Overview Seyed Sajad Mousavi Michael Schukat Enda Howley 63 46 0 23 Jun 2018
Many-Goals Reinforcement Learning Vivek Veeriah Junhyuk Oh Satinder Singh KELM 77 53 0 22 Jun 2018
Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation Peter R. Florence Lucas Manuelli Russ Tedrake SSL 126 280 0 22 Jun 2018
Online Linear Quadratic Control Alon Cohen Avinatan Hassidim Tomer Koren N. Lazić Yishay Mansour Kunal Talwar 95 151 0 19 Jun 2018
BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning Boris Ivanovic James Harrison Apoorva Sharma Mo Chen Marco Pavone OffRL 97 57 0 16 Jun 2018
Learning 6-DoF Grasping and Pick-Place Using Attention Focus Marcus Gualtieri Robert Platt 101 56 0 15 Jun 2018
Motion Planning Networks A. H. Qureshi Anthony Simeonov M. J. Bency Michael C. Yip 3DPC 84 239 0 14 Jun 2018
PAC-Bayes Control: Learning Policies that Provably Generalize to Novel Environments Anirudha Majumdar M. Goldstein Anoopkumar Sonar 119 18 0 11 Jun 2018
Learning an Approximate Model Predictive Controller with Guarantees Michael Hertneck Johannes Köhler Sebastian Trimpe Frank Allgöwer 93 228 0 11 Jun 2018
Learning Transferable UAV for Forest Visual Perception Lyujie Chen Wufan Wang Jihong Zhu 49 7 0 10 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 92 146 0 07 Jun 2018
Discovering space - Grounding spatial topology and metric regularity in a naive agent's sensorimotor experience Alban Laflaquière J. O'Regan B. Gas A. Terekhov 45 16 0 07 Jun 2018
AGIL: Learning Attention from Human for Visuomotor Tasks Ruohan Zhang Zhuode Liu Luxin Zhang Jake A. Whritner Karl S. Muller M. Hayhoe D. Ballard 63 76 0 01 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 110 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 128 65 0 31 May 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 241 1,290 0 30 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 104 125 0 29 May 2018
Improved Mixed-Example Data Augmentation Cecilia Summers M. Dinneen 111 161 0 29 May 2018