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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
Hardware Conditioned Policies for Multi-Robot Transfer Learning Tao Chen Adithyavairavan Murali Abhinav Gupta 102 102 0 24 Nov 2018
A Novel Learning-based Global Path Planning Algorithm for Planetary Rovers Jiang Zhang Yuanqing Xia Ganghui Shen 55 36 0 23 Nov 2018
Learning Actionable Representations with Goal-Conditioned Policies Dibya Ghosh Abhishek Gupta Sergey Levine 111 110 0 19 Nov 2018
An Algorithmic Perspective on Imitation Learning Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters 129 851 0 16 Nov 2018
Learning to Predict the Cosmological Structure Formation Siyu He Yin Li Yu Feng S. Ho Siamak Ravanbakhsh Wei Chen Barnabás Póczós 92 172 0 15 Nov 2018
Neural Predictive Belief Representations Z. Guo M. G. Azar Bilal Piot Bernardo Avila-Pires Rémi Munos SSL 96 81 0 15 Nov 2018
Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation Fan Wang Bo Zhou Ke Chen Tingxiang Fan Xi Zhang Jiangyong Li Hao Tian Jia Pan 68 26 0 15 Nov 2018
Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction Valts Blukis Dipendra Kumar Misra Ross A. Knepper Yoav Artzi 111 82 0 10 Nov 2018
Robust, Compliant Assembly via Optimal Belief Space Planning Florian Wirnshofer Philipp S. Schmitt W. Feiten Georg von Wichert Wolfram Burgard 63 22 0 09 Nov 2018
Sample-Efficient Policy Learning based on Completely Behavior Cloning Qiming Zou Ling Wang K. Lu Yu Li OffRL 56 0 0 09 Nov 2018
Correlation Filter Selection for Visual Tracking Using Reinforcement Learning Yanchun Xie Jimin Xiao Hassan Jameel Asghar Jeyarajan Thiyagalingam Dali Kaafar 45 21 0 08 Nov 2018
Quantifying the Reality Gap in Robotic Manipulation Tasks J. Collins David Howard Jurgen Leitner 72 45 0 05 Nov 2018
DQN-TAMER: Human-in-the-Loop Reinforcement Learning with Intractable Feedback Riku Arakawa Sosuke Kobayashi Y. Unno Yuta Tsuboi S. Maeda 91 75 0 28 Oct 2018
The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints Andrew Hundt Varun Jain Chia-Hung Lin Chris Paxton Gregory Hager 83 12 0 27 Oct 2018
Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions Lerrel Pinto Aditya Mandalika Brian Hou S. Srinivasa 60 13 0 24 Oct 2018
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks Michelle A. Lee Yuke Zhu K. Srinivasan Parth Shah Silvio Savarese Li Fei-Fei Animesh Garg Jeannette Bohg SSL 112 370 0 24 Oct 2018
Multi-Agent Actor-Critic with Generative Cooperative Policy Network Heechang Ryu Hayong Shin Jinkyoo Park 53 12 0 22 Oct 2018
RLgraph: Modular Computation Graphs for Deep Reinforcement Learning Michael Schaarschmidt Sven Mika Kai Fricke Eiko Yoneki OffRL 53 5 0 21 Oct 2018
Establishing Appropriate Trust via Critical States Sandy H. Huang Kush S. Bhatia Pieter Abbeel Anca Dragan OffRL 100 114 0 18 Oct 2018
Learning Socially Appropriate Robot Approaching Behavior Toward Groups using Deep Reinforcement Learning Yuan Gao Fangkai Yang Martin Frisk Daniel Hernández Christopher E. Peters Ginevra Castellano 44 5 0 16 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 196 144 0 15 Oct 2018
Learning to Sketch with Deep Q Networks and Demonstrated Strokes Tao Zhou Chen Fang Zhaowen Wang Jimei Yang Byungmoon Kim Zhili Chen Jonathan Brandt Demetri Terzopoulos 99 7 0 14 Oct 2018
Discovering General-Purpose Active Learning Strategies Ksenia Konyushkova Raphael Sznitman Pascal Fua 100 35 0 09 Oct 2018
Task-Embedded Control Networks for Few-Shot Imitation Learning Stephen James Michael Bloesch Andrew J. Davison 90 136 0 08 Oct 2018
A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning Mel Vecerík Oleg O. Sushkov David Barker Thomas Rothörl Todd Hester Jonathan Scholz 93 111 0 02 Oct 2018
Energy-Based Hindsight Experience Prioritization Rui Zhao Volker Tresp 180 74 0 02 Oct 2018
Time Reversal as Self-Supervision Suraj Nair Mohammad Babaeizadeh Chelsea Finn Sergey Levine Vikash Kumar SSL 98 12 0 02 Oct 2018
Few-Shot Goal Inference for Visuomotor Learning and Planning Annie Xie Avi Singh Sergey Levine Chelsea Finn OffRL 108 70 0 30 Sep 2018
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging Huy P Phan Fernando Andreotti Navin Cooray Oliver Y. Chén M. D. Vos 151 421 0 28 Sep 2018
Characterizing Audio Adversarial Examples Using Temporal Dependency Zhuolin Yang Yue Liu Pin-Yu Chen Basel Alomair AAML 69 165 0 28 Sep 2018
Learning and Planning with a Semantic Model Yi Wu Yuxin Wu Aviv Tamar Stuart J. Russell Georgia Gkioxari Yuandong Tian 60 17 0 28 Sep 2018
Learning Pose Estimation for High-Precision Robotic Assembly Using Simulated Depth Images Yuval Litvak Armin Biess Aharon Bar-Hillel 79 41 0 27 Sep 2018
Scaling simulation-to-real transfer by learning composable robot skills Ryan Julian Eric Heiden Zhanpeng He Hejia Zhang S. Schaal Joseph J. Lim Gaurav Sukhatme Karol Hausman 54 15 0 26 Sep 2018
Pay attention! - Robustifying a Deep Visuomotor Policy through Task-Focused Attention P. Abolghasemi Amir Mazaheri M. Shah Ladislau Bölöni AAML 75 34 0 26 Sep 2018
Vision-based Control of a Quadrotor in User Proximity: Mediated vs End-to-End Learning Approaches Dario Mantegazza Jérôme Guzzi L. Gambardella Alessandro Giusti 68 10 0 24 Sep 2018
On Reinforcement Learning for Full-length Game of StarCraft Zhen-Jia Pang Ruo-Ze Liu Zhou-Yu Meng Yuanhang Zhang Yang Yu Tong Lu OffRL 80 87 0 23 Sep 2018
A Learning Framework for High Precision Industrial Assembly Yongxiang Fan Jieliang Luo Masayoshi Tomizuka OffRL 92 50 0 23 Sep 2018
Benchmarking Reinforcement Learning Algorithms on Real-World Robots A. R. Mahmood D. Korenkevych Gautham Vasan W. Ma James Bergstra OffRL 96 159 0 20 Sep 2018
TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game Peng Sun Xinghai Sun Lei Han Jiechao Xiong Qing Wang ... Yang Zheng Ji Liu Yongsheng Liu Han Liu Tong Zhang 104 75 0 19 Sep 2018
Leveraging Contact Forces for Learning to Grasp Hamza Merzic Miroslav Bogdanovic Daniel Kappler Ludovic Righetti Jeannette Bohg 58 44 0 19 Sep 2018
Generalizing Across Multi-Objective Reward Functions in Deep Reinforcement Learning Eli Friedman F. Fontaine OffRL 67 22 0 17 Sep 2018
Learning Robust Manipulation Skills with Guided Policy Search via Generative Motor Reflexes Philipp Ennen Pia Bresenitz R. Vossen F. Hees 38 8 0 15 Sep 2018
Towards Better Interpretability in Deep Q-Networks Raghuram Mandyam Annasamy Katia Sycara FAtt 59 59 0 15 Sep 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization I. Clavera Jonas Rothfuss John Schulman Yasuhiro Fujita Tamim Asfour Pieter Abbeel 85 228 0 14 Sep 2018
Deep Reinforcement Learning for Event-Triggered Control Dominik Baumann Jia Jie Zhu Georg Martius Sebastian Trimpe BDL 83 61 0 13 Sep 2018
Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze Diego Romeres Devesh K. Jha Alberto Dalla Libera W. Yerazunis D. Nikovski 116 28 0 13 Sep 2018
Synthetic Occlusion Augmentation with Volumetric Heatmaps for the 2018 ECCV PoseTrack Challenge on 3D Human Pose Estimation István Sárándi Timm Linder Kai O. Arras Bastian Leibe 3DH 68 41 0 13 Sep 2018
Endowing Robots with Longer-term Autonomy by Recovering from External Disturbances in Manipulation through Grounded Anomaly Classification and Recovery Policies Hongmin Wu Shuangqi Luo Longxin Chen Shuangda Duan Sakmongkon Chumkamon Dong Liu Y. Guan Juan Rojas 159 11 0 11 Sep 2018
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