End-to-End Training of Deep Visuomotor Policies

2 April 2015

Pieter Abbeel

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

50 / 919 papers shown

Title
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization Xue Bin Peng Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel 67 1,345 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 28 116 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 18 116 0 16 Oct 2017
Combining Learned and Analytical Models for Predicting Action Effects from Sensory Data Alina Kloss S. Schaal Jeannette Bohg 40 85 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 33 290 0 11 Oct 2017
On the Sample Complexity of the Linear Quadratic Regulator Sarah Dean Horia Mania Nikolai Matni Benjamin Recht Stephen Tu 40 570 0 04 Oct 2017
Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight Yen-Chen Lin Ming Liu Min Sun Jia-Bin Huang AAML 29 48 0 02 Oct 2017
A Policy Search Method For Temporal Logic Specified Reinforcement Learning Tasks Xiao Li Yao Ma C. Belta 24 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 21 42 0 25 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 40 54 0 21 Sep 2017
One-Shot Visual Imitation Learning via Meta-Learning Chelsea Finn Tianhe Yu Tianhao Zhang Pieter Abbeel Sergey Levine SSL 30 555 0 14 Sep 2017
Automated Cloud Provisioning on AWS using Deep Reinforcement Learning Zhiguang Wang C. Gwon Tim Oates A. Iezzi 24 23 0 13 Sep 2017
Learning Robotic Manipulation of Granular Media Connor Schenck Jonathan Tompson Dieter Fox Sergey Levine 28 53 0 08 Sep 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 65 2,780 0 19 Aug 2017
GPLAC: Generalizing Vision-Based Robotic Skills using Weakly Labeled Images Avi Singh Larry Yang Sergey Levine 22 23 0 07 Aug 2017
CASSL: Curriculum Accelerated Self-Supervised Learning Adithyavairavan Murali Lerrel Pinto Dhiraj Gandhi Abhinav Gupta SSL 27 35 0 04 Aug 2017
Grounding Language for Transfer in Deep Reinforcement Learning Karthik Narasimhan Regina Barzilay Tommi Jaakkola LM&Ro OffRL 32 25 0 01 Aug 2017
Learning to Singulate Objects using a Push Proposal Network Andreas Eitel Nico Hauff Wolfram Burgard 32 83 0 25 Jul 2017
Pick and Place Without Geometric Object Models Marcus Gualtieri A. T. Pas Robert W. Platt 18 56 0 18 Jul 2017
Reverse Curriculum Generation for Reinforcement Learning Carlos Florensa David Held Markus Wulfmeier Michael Zhang Pieter Abbeel 36 436 0 17 Jul 2017
LabelFusion: A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered Scenes Pat Marion Peter R. Florence Lucas Manuelli Russ Tedrake 3DV 36 109 0 15 Jul 2017
Distral: Robust Multitask Reinforcement Learning Yee Whye Teh V. Bapst Wojciech M. Czarnecki John Quan J. Kirkpatrick R. Hadsell N. Heess Razvan Pascanu 44 544 0 13 Jul 2017
Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation YuXuan Liu Abhishek Gupta Pieter Abbeel Sergey Levine 53 375 0 11 Jul 2017
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 143 928 0 07 Jul 2017
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task Stephen James Andrew J. Davison Edward Johns 162 275 0 07 Jul 2017
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 95 2,297 0 05 Jul 2017
Observational Learning by Reinforcement Learning Diana Borsa Bilal Piot Rémi Munos Olivier Pietquin OffRL 28 45 0 20 Jun 2017
Scalable Co-Optimization of Morphology and Control in Embodied Machines Nick Cheney Josh Bongard Vytas SunSpiral Hod Lipson 41 105 0 19 Jun 2017
Learning a visuomotor controller for real world robotic grasping using simulated depth images Ulrich Viereck A. T. Pas Kate Saenko Robert W. Platt 24 192 0 14 Jun 2017
Generalized Value Iteration Networks: Life Beyond Lattices Sufeng Niu Siheng Chen Hanyu Guo Colin Targonski M. C. Smith J. Kovacevic GNN 27 53 0 08 Jun 2017
Constrained Policy Optimization Joshua Achiam David Held Aviv Tamar Pieter Abbeel 14 1,302 0 30 May 2017
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation Guan-Horng Liu Avinash Siravuru Sai P. Selvaraj Manuela Veloso George Kantor 13 69 0 30 May 2017
PVEs: Position-Velocity Encoders for Unsupervised Learning of Structured State Representations Rico Jonschkowski Roland Hafner Jonathan Scholz Martin Riedmiller 13 67 0 27 May 2017
Visual Servoing from Deep Neural Networks Quentin Bateux É. Marchand Jurgen Leitner F. Chaumette Peter Corke BDL 9 39 0 24 May 2017
Diffusion-based neuromodulation can eliminate catastrophic forgetting in simple neural networks Roby Velez Jeff Clune DiffM 21 50 0 20 May 2017
Automatic Goal Generation for Reinforcement Learning Agents Carlos Florensa David Held Xinyang Geng Pieter Abbeel 78 499 0 17 May 2017
Learning to Represent Haptic Feedback for Partially-Observable Tasks Jaeyong Sung J. Salisbury Ashutosh Saxena SSL 30 32 0 17 May 2017
Probabilistically Safe Policy Transfer David Held Zoe McCarthy Michael Zhang Fred Shentu Pieter Abbeel 32 19 0 15 May 2017
Metacontrol for Adaptive Imagination-Based Optimization Jessica B. Hamrick A. J. Ballard Razvan Pascanu Oriol Vinyals N. Heess Peter W. Battaglia 27 69 0 07 May 2017
Navigating Occluded Intersections with Autonomous Vehicles using Deep Reinforcement Learning David Isele Reza Rahimi Akansel Cosgun K. Subramanian K. Fujimura 29 137 0 02 May 2017
Mapping Instructions and Visual Observations to Actions with Reinforcement Learning Dipendra Kumar Misra John Langford Yoav Artzi 21 247 0 28 Apr 2017
Obstacle Avoidance through Deep Networks based Intermediate Perception Shichao Yang Sandeep Konam Chen Ma Stephanie Rosenthal Manuela Veloso Sebastian Scherer 10 39 0 27 Apr 2017
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation I. Popov N. Heess Timothy Lillicrap Roland Hafner Gabriel Barth-Maron Matej Vecerík Thomas Lampe Yuval Tassa Tom Erez Martin Riedmiller OffRL 31 263 0 10 Apr 2017
Stochastic Neural Networks for Hierarchical Reinforcement Learning Carlos Florensa Yan Duan Pieter Abbeel BDL 47 360 0 10 Apr 2017
Learning Visual Servoing with Deep Features and Fitted Q-Iteration Alex X. Lee Sergey Levine Pieter Abbeel SSL 30 73 0 31 Mar 2017
On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations N. Cheney Martin Schrimpf Gabriel Kreiman OOD 16 45 0 23 Mar 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning Tim Salimans Jonathan Ho Xi Chen Szymon Sidor Ilya Sutskever 45 1,516 0 10 Mar 2017
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning Yevgen Chebotar Karol Hausman Marvin Zhang Gaurav Sukhatme S. Schaal Sergey Levine 37 159 0 08 Mar 2017
Towards Generalization and Simplicity in Continuous Control Aravind Rajeswaran Kendall Lowrey E. Todorov Sham Kakade OffRL 41 276 0 08 Mar 2017
What Would You Do? Acting by Learning to Predict Adam W. Tow Niko Sünderhauf S. Shirazi Michael Milford Jurgen Leitner LM&Ro 30 6 0 08 Mar 2017