Action-Conditional Video Prediction using Deep Networks in Atari Games

31 July 2015

Papers citing "Action-Conditional Video Prediction using Deep Networks in Atari Games"

50 / 225 papers shown

Title
Temporal Difference Variational Auto-Encoder Karol Gregor George Papamakarios F. Besse Lars Buesing Theophane Weber DRL 24 126 0 08 Jun 2018
Object-Oriented Dynamics Predictor Guangxiang Zhu Zhiao Huang Chongjie Zhang AI4CE 24 36 0 25 May 2018
Variational Inference for Data-Efficient Model Learning in POMDPs Sebastian Tschiatschek Kai Arulkumaran Jan Stühmer Katja Hofmann 24 15 0 23 May 2018
Imitating Latent Policies from Observation Ashley D. Edwards Himanshu Sahni Yannick Schroecker Charles Isbell 34 137 0 21 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
Zero-Shot Visual Imitation Deepak Pathak Parsa Mahmoudieh Guanghao Luo Pulkit Agrawal Dian Chen Yide Shentu Evan Shelhamer Jitendra Malik Alexei A. Efros Trevor Darrell LM&Ro 63 298 0 23 Apr 2018
Lipschitz Continuity in Model-based Reinforcement Learning Kavosh Asadi Dipendra Kumar Misra Michael L. Littman KELM 43 150 0 19 Apr 2018
PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning Yunbo Wang Zhifeng Gao Mingsheng Long Jianmin Wang Philip S. Yu 20 470 0 17 Apr 2018
Talking Face Generation by Conditional Recurrent Adversarial Network Yang Song Jingwen Zhu Dawei Li Xiaolong Wang Hairong Qi CVBM 27 192 0 13 Apr 2018
Stochastic Adversarial Video Prediction Alex X. Lee Richard Y. Zhang F. Ebert Pieter Abbeel Chelsea Finn Sergey Levine DRL VGen GAN 28 450 0 04 Apr 2018
When will you do what? - Anticipating Temporal Occurrences of Activities Yazan Abu Farha Alexander Richard Juergen Gall 30 189 0 03 Apr 2018
DIY Human Action Data Set Generation Mehran Khodabandeh Hamid Reza Vaezi Joze Ilya Zharkov V. Pradeep 21 11 0 29 Mar 2018
World Models David R Ha Jürgen Schmidhuber SyDa 35 1,031 0 27 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 11 0 06 Mar 2018
Stochastic Video Generation with a Learned Prior Emily L. Denton Rob Fergus VGen 48 525 0 21 Feb 2018
Learning to Forecast Videos of Human Activity with Multi-granularity Models and Adaptive Rendering Mengyao Zhai Jiacheng Chen Ruizhi Deng Lei Chen Ligeng Zhu Greg Mori 3DH 26 2 0 05 Dec 2017
Folded Recurrent Neural Networks for Future Video Prediction Marc Oliu Javier Selva Sergio Escalera 29 135 0 01 Dec 2017
Hierarchical Video Generation from Orthogonal Information: Optical Flow and Texture Katsunori Ohnishi Shohei Yamamoto Yoshitaka Ushiku Tatsuya Harada VGen GAN 40 59 0 27 Nov 2017
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning Marc Lanctot V. Zambaldi A. Gruslys Angeliki Lazaridou K. Tuyls Julien Perolat David Silver T. Graepel 50 628 0 02 Nov 2017
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning Gregory Farquhar Tim Rocktaschel Maximilian Igl Shimon Whiteson OffRL 25 71 0 31 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
Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation G. Kahn Adam R. Villaflor Bosen Ding Pieter Abbeel Sergey Levine SSL 34 287 0 29 Sep 2017
IQ of Neural Networks Dokhyam Hoshen M. Werman 29 44 0 29 Sep 2017
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents Marlos C. Machado Marc G. Bellemare Erik Talvitie J. Veness Matthew J. Hausknecht Michael Bowling 35 544 0 18 Sep 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 65 2,776 0 19 Aug 2017
Photographic Image Synthesis with Cascaded Refinement Networks Qifeng Chen V. Koltun 26 946 0 28 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
MoCoGAN: Decomposing Motion and Content for Video Generation Sergey Tulyakov Ming Liu Xiaodong Yang Jan Kautz GAN 93 1,131 0 17 Jul 2017
Autoencoder-augmented Neuroevolution for Visual Doom Playing Samuel Alvernaz Julian Togelius 31 62 0 12 Jul 2017
Skeleton-aided Articulated Motion Generation Yichao Yan Jingwei Xu Bingbing Ni Xiaokang Yang 3DH 35 87 0 04 Jul 2017
Grounded Language Learning in a Simulated 3D World Karl Moritz Hermann Felix Hill Simon Green Fumin Wang Ryan Faulkner ... Denis Teplyashin Marcus Wainwright C. Apps Demis Hassabis Phil Blunsom LM&Ro 11 305 0 20 Jun 2017
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning Junhyuk Oh Satinder Singh Honglak Lee Pushmeet Kohli OffRL 31 269 0 15 Jun 2017
Unsupervised Learning of Disentangled Representations from Video Emily L. Denton Vighnesh Birodkar DRL CoGe OOD 36 552 0 31 May 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 51 2,399 0 15 May 2017
Emotion in Reinforcement Learning Agents and Robots: A Survey Thomas M. Moerland Joost Broekens Catholijn M. Jonker AI4CE 16 162 0 15 May 2017
Recurrent Environment Simulators Silvia Chiappa S. Racanière Daan Wierstra S. Mohamed 28 206 0 07 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
Independently Controllable Features Emmanuel Bengio Valentin Thomas Joelle Pineau Doina Precup Yoshua Bengio DRL 29 66 0 22 Mar 2017
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents Yen-Chen Lin Zhang-Wei Hong Yuan-Hong Liao Meng-Li Shih Ming Liu Min Sun AAML 17 411 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 27 6 0 08 Mar 2017
Neural Episodic Control Alexander Pritzel Benigno Uria Sriram Srinivasan A. Badia Oriol Vinyals Demis Hassabis Daan Wierstra Charles Blundell OffRL BDL 35 345 0 06 Mar 2017
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning Joshua Achiam S. Shankar Sastry 34 235 0 06 Mar 2017
Transformation-Based Models of Video Sequences Joost R. van Amersfoort A. Kannan MarcÁurelio Ranzato Arthur Szlam Du Tran Soumith Chintala ViT 29 75 0 29 Jan 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,503 0 25 Jan 2017
The Predictron: End-To-End Learning and Planning David Silver H. V. Hasselt Matteo Hessel Tom Schaul A. Guez ... Gabriel Dulac-Arnold David P. Reichert Neil C. Rabinowitz André Barreto T. Degris 23 289 0 28 Dec 2016
Self-Correcting Models for Model-Based Reinforcement Learning Erik Talvitie LRM 38 92 0 19 Dec 2016
End-to-end Learning of Driving Models from Large-scale Video Datasets Huazhe Xu Yang Gao Feng Yu Trevor Darrell 44 821 0 04 Dec 2016
A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games Felix Leibfried Nate Kushman Katja Hofmann 46 43 0 21 Nov 2016
Reinforcement Learning with Unsupervised Auxiliary Tasks Max Jaderberg Volodymyr Mnih Wojciech M. Czarnecki Tom Schaul Joel Z Leibo David Silver Koray Kavukcuoglu SSL 13 1,222 0 16 Nov 2016