Deep Visual Foresight for Planning Robot Motion

3 October 2016

Papers citing "Deep Visual Foresight for Planning Robot Motion"

33 / 183 papers shown

Title
Adversarial Learning-Based On-Line Anomaly Monitoring for Assured Autonomy Naman Patel Apoorva Nandini Saridena A. Choromańska Prashanth Krishnamurthy Farshad Khorrami 17 18 0 12 Nov 2018
Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions Lerrel Pinto Aditya Mandalika Brian Hou S. Srinivasa 33 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 35 368 0 24 Oct 2018
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies Homanga Bharadhwaj Zihan Wang Yoshua Bengio Liam Paull 24 40 0 11 Oct 2018
Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning F. Ebert Sudeep Dasari Alex X. Lee Sergey Levine Chelsea Finn SSL 11 61 0 06 Oct 2018
A Fog Robotic System for Dynamic Visual Servoing Nan Tian Jinfa Chen Shikui Ma Robert Zhang Bill Huang Ken Goldberg Somayeh Sojoudi 26 45 0 16 Sep 2018
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models Alexander Neitz Giambattista Parascandolo Stefan Bauer Bernhard Schölkopf 25 38 0 14 Aug 2018
Visual Reinforcement Learning with Imagined Goals Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine SSL 43 535 0 12 Jul 2018
Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation Peter R. Florence Lucas Manuelli Russ Tedrake SSL 57 277 0 22 Jun 2018
Unsupervised Meta-Learning for Reinforcement Learning Abhishek Gupta Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 54 106 0 12 Jun 2018
Fast Exploration with Simplified Models and Approximately Optimistic Planning in Model Based Reinforcement Learning Ramtin Keramati Jay Whang Patrick Cho Emma Brunskill OffRL 23 7 0 01 Jun 2018
Object-Oriented Dynamics Predictor Guangxiang Zhu Zhiao Huang Chongjie Zhang AI4CE 24 36 0 25 May 2018
Generative Temporal Models with Spatial Memory for Partially Observed Environments Marco Fraccaro Danilo Jimenez Rezende Yori Zwols Alexander Pritzel S. M. Ali Eslami Fabio Viola 31 28 0 25 Apr 2018
Personalized Dynamics Models for Adaptive Assistive Navigation Systems Eshed Ohn-Bar Kris Kitani Chieko Asakawa 27 29 0 11 Apr 2018
Stochastic Adversarial Video Prediction Alex X. Lee Richard Y. Zhang F. Ebert Pieter Abbeel Chelsea Finn Sergey Levine DRL VGen GAN 30 450 0 04 Apr 2018
Probing Physics Knowledge Using Tools from Developmental Psychology Luis S. Piloto Ari Weinstein TB Dhruva Arun Ahuja M. Berk Mirza Greg Wayne David Amos Chia-Chun Hung M. Botvinick 30 34 0 03 Apr 2018
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation Xin Eric Wang Wenhan Xiong Hongmin Wang William Yang Wang 33 199 0 21 Mar 2018
A Survey of Deep Learning Techniques for Mobile Robot Applications Jahanzaib Shabbir T. Anwer 26 36 0 20 Mar 2018
Occupancy Map Prediction Using Generative and Fully Convolutional Networks for Vehicle Navigation Kapil D. Katyal K. Popek Chris Paxton Joseph L. Moore Kevin C. Wolfe Philippe Burlina Gregory Hager GAN 27 12 0 06 Mar 2018
Virtual-to-Real: Learning to Control in Visual Semantic Segmentation Zhang-Wei Hong Yu-Ming Chen Shih-Yang Su Tzu-Yun Shann Yi-Hsiang Chang ... Yueh-Chuan Chang Tsu-Ching Hsiao Hsin-Wei Hsiao Sih-Pin Lai Chun-Yi Lee 32 81 0 01 Feb 2018
JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services Amir Erfan Eshratifar M. Abrishami Massoud Pedram FedML 34 248 0 25 Jan 2018
Fast Model Identification via Physics Engines for Data-Efficient Policy Search Shaojun Zhu A. Kimmel Kostas E. Bekris Abdeslam Boularias 31 14 0 24 Oct 2017
Self-Supervised Visual Planning with Temporal Skip Connections F. Ebert Chelsea Finn Alex X. Lee Sergey Levine SSL 40 317 0 15 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
Learning Robotic Manipulation of Granular Media Connor Schenck Jonathan Tompson Dieter Fox Sergey Levine 28 53 0 08 Sep 2017
Learning to Singulate Objects using a Push Proposal Network Andreas Eitel Nico Hauff Wolfram Burgard 32 83 0 25 Jul 2017
Imagination-Augmented Agents for Deep Reinforcement Learning T. Weber S. Racanière David P. Reichert Lars Buesing A. Guez ... Razvan Pascanu Peter W. Battaglia Demis Hassabis David Silver Daan Wierstra LM&Ro 54 551 0 19 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
MagNet: a Two-Pronged Defense against Adversarial Examples Dongyu Meng Hao Chen AAML 13 1,199 0 25 May 2017
Learning Robot Activities from First-Person Human Videos Using Convolutional Future Regression Jangwon Lee Michael S. Ryoo 32 13 0 03 Mar 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,505 0 25 Jan 2017
Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics J. M. Wong 27 11 0 01 Nov 2016
3D Simulation for Robot Arm Control with Deep Q-Learning Stephen James Edward Johns 24 108 0 13 Sep 2016