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Deep Visual Foresight for Planning Robot Motion

3 October 2016

Papers citing "Deep Visual Foresight for Planning Robot Motion"

50 / 453 papers shown

Title
Learning Real-World Robot Policies by Dreaming A. Piergiovanni Alan Wu Michael S. Ryoo 85 31 0 20 May 2018
Learning and Inferring Movement with Deep Generative Model Mingxuan Jing Xiaojian Ma F. Sun Huaping Liu GAN 66 2 0 18 May 2018
Reward Learning from Narrated Demonstrations H. Tung Adam W. Harley Liang-Kang Huang Katerina Fragkiadaki LM&Ro SSL 88 29 0 27 Apr 2018
Decoupling Dynamics and Reward for Transfer Learning Amy Zhang Harsh Satija Joelle Pineau OOD 97 72 0 27 Apr 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 122 28 0 25 Apr 2018
Personalized Dynamics Models for Adaptive Assistive Navigation Systems Eshed Ohn-Bar Kris Kitani Chieko Asakawa 75 30 0 11 Apr 2018
On the Robustness of Speech Emotion Recognition for Human-Robot Interaction with Deep Neural Networks Egor Lakomkin M. Zamani C. Weber S. Magg S. Wermter 57 54 0 06 Apr 2018
Stochastic Adversarial Video Prediction Alex X. Lee Richard Y. Zhang F. Ebert Pieter Abbeel Chelsea Finn Sergey Levine DRL VGen GAN 117 453 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 78 34 0 03 Apr 2018
Visual Robot Task Planning Chris Paxton Yotam Barnoy Kapil D. Katyal R. Arora Gregory Hager 82 53 0 30 Mar 2018
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning Anusha Nagabandi I. Clavera Simin Liu R. Fearing Pieter Abbeel Sergey Levine Chelsea Finn 239 556 0 30 Mar 2018
Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning Andy Zeng Shuran Song Stefan Welker Johnny Lee Alberto Rodriguez Thomas Funkhouser SSL 151 572 0 27 Mar 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 97 202 0 21 Mar 2018
A Survey of Deep Learning Techniques for Mobile Robot Applications Jahanzaib Shabbir T. Anwer 107 36 0 20 Mar 2018
Hybrid Multi-camera Visual Servoing to Moving Target Hanz Cuevas-Velasquez Nanbo Li Radim Tylecek Marcelo Saval-Calvo Robert B. Fisher 45 18 0 06 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 54 12 0 06 Mar 2018
Model-Ensemble Trust-Region Policy Optimization Thanard Kurutach I. Clavera Yan Duan Aviv Tamar Pieter Abbeel 95 453 0 28 Feb 2018
Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods Deirdre Quillen Eric Jang Ofir Nachum Chelsea Finn Julian Ibarz Sergey Levine OOD OffRL 106 204 0 28 Feb 2018
Learning to Play with Intrinsically-Motivated Self-Aware Agents Nick Haber Damian Mrowca Li Fei-Fei Daniel L. K. Yamins LRM 103 120 0 21 Feb 2018
Learning and Querying Fast Generative Models for Reinforcement Learning Lars Buesing T. Weber S. Racanière S. M. Ali Eslami Danilo Jimenez Rezende ... Fabio Viola F. Besse Karol Gregor Demis Hassabis Daan Wierstra OffRL 98 135 0 08 Feb 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 121 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 118 256 0 25 Jan 2018
Deep Episodic Memory: Encoding, Recalling, and Predicting Episodic Experiences for Robot Action Execution Jonas Rothfuss Fabio Ferreira E. Aksoy You Zhou Tamim Asfour 84 37 0 12 Jan 2018
Approximate Inference-based Motion Planning by Learning and Exploiting Low-Dimensional Latent Variable Models Jung-Su Ha Hyeok-Joo Chae Han-Lim Choi 72 14 0 22 Nov 2017
Transferring Agent Behaviors from Videos via Motion GANs Ashley D. Edwards Charles Isbell VGen GAN 57 0 0 21 Nov 2017
Learning Markov Chain in Unordered Dataset Yao-Hung Hubert Tsai Haiying Zhao Ruslan Salakhutdinov Nebojsa Jojic CML 110 1 0 08 Nov 2017
Stochastic Variational Video Prediction Mohammad Babaeizadeh Chelsea Finn D. Erhan R. Campbell Sergey Levine DRL VGen 125 543 0 30 Oct 2017
Fast Model Identification via Physics Engines for Data-Efficient Policy Search Shaojun Zhu A. Kimmel Kostas E. Bekris Abdeslam Boularias 150 14 0 24 Oct 2017
Self-Supervised Visual Planning with Temporal Skip Connections F. Ebert Chelsea Finn Alex X. Lee Sergey Levine SSL 89 321 0 15 Oct 2017
Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight Yen-Chen Lin Ming-Yuan Liu Min Sun Jia-Bin Huang AAML 116 49 0 02 Oct 2017
SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Planning and Control Arunkumar Byravan Felix Leeb Franziska Meier Dieter Fox 91 40 0 02 Oct 2017
Deep Haptic Model Predictive Control for Robot-Assisted Dressing Zackory M. Erickson Henry M. Clever Greg Turk Chenxi Liu Charles C. Kemp 43 83 0 27 Sep 2017
Learning Robotic Manipulation of Granular Media Connor Schenck Jonathan Tompson Dieter Fox Sergey Levine 76 54 0 08 Sep 2017
Grasp selection analysis for two-step manipulation tasks A. H. Quispe 25 0 0 04 Sep 2017
A Deep Q-Network for the Beer Game: A Deep Reinforcement Learning algorithm to Solve Inventory Optimization Problems Afshin Oroojlooyjadid M. Nazari L. Snyder Martin Takáč 83 38 0 20 Aug 2017
Deep Object-Centric Representations for Generalizable Robot Learning Coline Devin Pieter Abbeel Trevor Darrell Sergey Levine SSL OCL 115 108 0 14 Aug 2017
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning Anusha Nagabandi G. Kahn R. Fearing Sergey Levine 180 977 0 08 Aug 2017
Learning to Singulate Objects using a Push Proposal Network Andreas Eitel Nico Hauff Wolfram Burgard 118 84 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 124 557 0 19 Jul 2017
Learning model-based planning from scratch Razvan Pascanu Yujia Li Oriol Vinyals N. Heess Lars Buesing S. Racanière David P. Reichert T. Weber Daan Wierstra Peter W. Battaglia LM&Ro 130 98 0 19 Jul 2017
Value Prediction Network Junhyuk Oh Satinder Singh Honglak Lee 137 335 0 11 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 243 276 0 07 Jul 2017
MagNet: a Two-Pronged Defense against Adversarial Examples Dongyu Meng Hao Chen AAML 62 1,211 0 25 May 2017
Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning Thomas M. Moerland Joost Broekens Catholijn M. Jonker OffRL 110 31 0 01 May 2017
Information-theoretic Model Identification and Policy Search using Physics Engines with Application to Robotic Manipulation Shaojun Zhu A. Kimmel Abdeslam Boularias 58 8 0 22 Mar 2017
Prediction and Control with Temporal Segment Models Nikhil Mishra Pieter Abbeel Igor Mordatch BDL 99 64 0 12 Mar 2017
Learning Robot Activities from First-Person Human Videos Using Convolutional Future Regression Jangwon Lee Michael S. Ryoo 60 13 0 03 Mar 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 379 1,551 0 25 Jan 2017
NIPS 2016 Tutorial: Generative Adversarial Networks Ian Goodfellow GAN 237 1,730 0 31 Dec 2016
A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation L. Tai Jingwei Zhang Ming-Yuan Liu Joschka Boedecker Wolfram Burgard OffRL 151 78 0 21 Dec 2016