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Object-Oriented Dynamics Predictor

25 May 2018

Papers citing "Object-Oriented Dynamics Predictor"

30 / 30 papers shown

Title
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions Sjoerd van Steenkiste Michael Chang Klaus Greff Jürgen Schmidhuber BDL OCL DRL 209 292 0 28 Feb 2018
Visual Interpretability for Deep Learning: a Survey Quanshi Zhang Song-Chun Zhu FaML HAI 144 822 0 02 Feb 2018
Interpreting CNNs via Decision Trees Quanshi Zhang Yu Yang Ying Nian Wu Song-Chun Zhu FAtt 73 323 0 01 Feb 2018
Interpretable Convolutional Neural Networks Quanshi Zhang Ying Nian Wu Song-Chun Zhu FAtt 74 784 0 02 Oct 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 544 19,296 0 20 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 117 558 0 19 Jul 2017
Decomposing Motion and Content for Natural Video Sequence Prediction Ruben Villegas Jimei Yang Seunghoon Hong Xunyu Lin Honglak Lee 80 598 0 25 Jun 2017
A simple neural network module for relational reasoning Adam Santoro David Raposo David Barrett Mateusz Malinowski Razvan Pascanu Peter W. Battaglia Timothy Lillicrap GNN NAI 189 1,615 0 05 Jun 2017
Unsupervised Learning of Disentangled Representations from Video Emily L. Denton Vighnesh Birodkar DRL CoGe OOD 88 553 0 31 May 2017
SfM-Net: Learning of Structure and Motion from Video Sudheendra Vijayanarasimhan Susanna Ricco Cordelia Schmid Rahul Sukthankar Katerina Fragkiadaki MDE 79 443 0 25 Apr 2017
Recurrent Environment Simulators Silvia Chiappa S. Racanière Daan Wierstra S. Mohamed 75 211 0 07 Apr 2017
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 388 441 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 545 1,412 0 01 Dec 2016
Deep Visual Foresight for Planning Robot Motion Chelsea Finn Sergey Levine 123 788 0 03 Oct 2016
Unsupervised Learning for Physical Interaction through Video Prediction Chelsea Finn Ian Goodfellow Sergey Levine 84 1,047 0 23 May 2016
Value Iteration Networks Aviv Tamar Yi Wu G. Thomas Sergey Levine Pieter Abbeel 79 656 0 09 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 207 8,881 0 04 Feb 2016
Unsupervised Learning of Visual Structure using Predictive Generative Networks William Lotter Gabriel Kreiman David D. Cox GAN SSL DRL 59 132 0 19 Nov 2015
Deep multi-scale video prediction beyond mean square error Michaël Mathieu Camille Couprie Yann LeCun GAN 130 1,882 0 17 Nov 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 330 13,289 0 09 Sep 2015
Action-Conditional Video Prediction using Deep Networks in Atari Games Junhyuk Oh Xiaoxiao Guo Honglak Lee Richard L. Lewis Satinder Singh 108 855 0 31 Jul 2015
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images Manuel Watter Jost Tobias Springenberg Joschka Boedecker Martin Riedmiller BDL 88 847 0 24 Jun 2015
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 316 7,396 0 05 Jun 2015
Unsupervised Object Discovery and Tracking in Video Collections Suha Kwak Minsu Cho Ivan Laptev Jean Ponce Cordelia Schmid 71 126 0 14 May 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 281 6,801 0 19 Feb 2015
Unsupervised Learning of Video Representations using LSTMs Nitish Srivastava Elman Mansimov Ruslan Salakhutdinov SSL 148 2,593 0 16 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 467 43,347 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 254 4,681 0 21 Dec 2014
Video (language) modeling: a baseline for generative models of natural videos MarcÁurelio Ranzato Arthur Szlam Joan Bruna Michaël Mathieu R. Collobert S. Chopra VGen 110 472 0 20 Dec 2014