End-to-End Training of Deep Visuomotor Policies

2 April 2015

Pieter Abbeel

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

22 / 922 papers shown

Title
"What happens if..." Learning to Predict the Effect of Forces in Images Roozbeh Mottaghi Mohammad Rastegari Abhinav Gupta Ali Farhadi OOD 31 123 0 17 Mar 2016
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection Sergey Levine P. Pastor A. Krizhevsky Deirdre Quillen 46 2,062 0 07 Mar 2016
Continuous Deep Q-Learning with Model-based Acceleration S. Gu Timothy Lillicrap Ilya Sutskever Sergey Levine 42 1,008 0 02 Mar 2016
PLATO: Policy Learning using Adaptive Trajectory Optimization G. Kahn Tianhao Zhang Sergey Levine Pieter Abbeel 32 136 0 02 Mar 2016
Value Iteration Networks Aviv Tamar Yi Wu G. Thomas Sergey Levine Pieter Abbeel 41 649 0 09 Feb 2016
Learning to Communicate to Solve Riddles with Deep Distributed Recurrent Q-Networks Jakob N. Foerster Yannis Assael Nando de Freitas Shimon Whiteson 21 147 0 08 Feb 2016
Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms Tom Zahavy Bingyi Kang Alex Sivak Jiashi Feng Huan Xu Shie Mannor OOD AAML 39 12 0 07 Feb 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 58 8,767 0 04 Feb 2016
Memory-based control with recurrent neural networks N. Heess Jonathan J. Hunt Timothy Lillicrap David Silver 35 301 0 14 Dec 2015
Learning Visual Predictive Models of Physics for Playing Billiards Katerina Fragkiadaki Pulkit Agrawal Sergey Levine Jitendra Malik 18 260 0 23 Nov 2015
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints Eric Tzeng Coline Devin Judy Hoffman Chelsea Finn Pieter Abbeel Sergey Levine Kate Saenko Trevor Darrell OOD 24 138 0 23 Nov 2015
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 29 3,727 0 20 Nov 2015
Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning Emilio Parisotto Jimmy Lei Ba Ruslan Salakhutdinov OffRL 39 591 0 19 Nov 2015
Neural network-based clustering using pairwise constraints Yen-Chang Hsu Z. Kira 32 83 0 19 Nov 2015
Active Object Localization with Deep Reinforcement Learning Juan C. Caicedo Svetlana Lazebnik ObjD 29 443 0 18 Nov 2015
Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control Fangyi Zhang Jurgen Leitner Michael Milford B. Upcroft Peter Corke 22 273 0 12 Nov 2015
FireCaffe: near-linear acceleration of deep neural network training on compute clusters F. Iandola Khalid Ashraf Matthew W. Moskewicz Kurt Keutzer 30 302 0 31 Oct 2015
One-Shot Learning of Manipulation Skills with Online Dynamics Adaptation and Neural Network Priors Justin Fu Sergey Levine Pieter Abbeel OffRL 22 159 0 23 Sep 2015
Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700 Robot Hours Lerrel Pinto Abhinav Gupta SSL 33 1,150 0 23 Sep 2015
Learning Deep Control Policies for Autonomous Aerial Vehicles with MPC-Guided Policy Search Tianhao Zhang G. Kahn Sergey Levine Pieter Abbeel 27 426 0 22 Sep 2015
Compatible Value Gradients for Reinforcement Learning of Continuous Deep Policies David Balduzzi Muhammad Ghifary 24 33 0 10 Sep 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 52 13,120 0 09 Sep 2015