ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1507.08750
  4. Cited By
Action-Conditional Video Prediction using Deep Networks in Atari Games

Action-Conditional Video Prediction using Deep Networks in Atari Games

31 July 2015
Junhyuk Oh
Xiaoxiao Guo
Honglak Lee
Richard L. Lewis
Satinder Singh
ArXivPDFHTML

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

25 / 225 papers shown
Title
Learning to Perform Physics Experiments via Deep Reinforcement Learning
Learning to Perform Physics Experiments via Deep Reinforcement Learning
Misha Denil
Pulkit Agrawal
Tejas D. Kulkarni
Tom Erez
Peter W. Battaglia
Nando de Freitas
AI4CE
46
338
0
06 Nov 2016
Learning to Act by Predicting the Future
Learning to Act by Predicting the Future
Alexey Dosovitskiy
V. Koltun
29
280
0
06 Nov 2016
Towards Lifelong Self-Supervision: A Deep Learning Direction for
  Robotics
Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics
J. M. Wong
27
11
0
01 Nov 2016
Multi-Objective Deep Reinforcement Learning
Multi-Objective Deep Reinforcement Learning
Hossam Mossalam
Yannis Assael
D. Roijers
Shimon Whiteson
29
151
0
09 Oct 2016
Learning What and Where to Draw
Learning What and Where to Draw
Scott E. Reed
Zeynep Akata
S. Mohan
Samuel Tenka
Bernt Schiele
Honglak Lee
DRL
GAN
30
618
0
08 Oct 2016
Video Pixel Networks
Video Pixel Networks
Nal Kalchbrenner
Aaron van den Oord
Karen Simonyan
Ivo Danihelka
Oriol Vinyals
Alex Graves
Koray Kavukcuoglu
26
422
0
03 Oct 2016
Geometry-Based Next Frame Prediction from Monocular Video
Geometry-Based Next Frame Prediction from Monocular Video
R. Mahjourian
Martin Wicke
A. Angelova
MDE
19
41
0
20 Sep 2016
A Recurrent Encoder-Decoder Network for Sequential Face Alignment
A Recurrent Encoder-Decoder Network for Sequential Face Alignment
Xi Peng
Rogerio Feris
Xiaoyu Wang
Dimitris N. Metaxas
CVBM
180
140
0
19 Aug 2016
Learning a Driving Simulator
Learning a Driving Simulator
Eder Santana
George Hotz
GAN
28
226
0
03 Aug 2016
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross
  Convolutional Networks
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks
Tianfan Xue
Jiajun Wu
Katherine Bouman
Bill Freeman
43
416
0
09 Jul 2016
Learning to Poke by Poking: Experiential Learning of Intuitive Physics
Learning to Poke by Poking: Experiential Learning of Intuitive Physics
Pulkit Agrawal
Ashvin Nair
Pieter Abbeel
Jitendra Malik
Sergey Levine
SSL
10
563
0
23 Jun 2016
Detection and Tracking of Liquids with Fully Convolutional Networks
Detection and Tracking of Liquids with Fully Convolutional Networks
Connor Schenck
Dieter Fox
13
17
0
20 Jun 2016
Unifying Count-Based Exploration and Intrinsic Motivation
Unifying Count-Based Exploration and Intrinsic Motivation
Marc G. Bellemare
S. Srinivasan
Georg Ostrovski
Tom Schaul
D. Saxton
Rémi Munos
29
1,456
0
06 Jun 2016
Deep Predictive Coding Networks for Video Prediction and Unsupervised
  Learning
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter
Gabriel Kreiman
David D. Cox
SSL
52
927
0
25 May 2016
Unsupervised Learning for Physical Interaction through Video Prediction
Unsupervised Learning for Physical Interaction through Video Prediction
Chelsea Finn
Ian Goodfellow
Sergey Levine
28
1,039
0
23 May 2016
Option Discovery in Hierarchical Reinforcement Learning using
  Spatio-Temporal Clustering
Option Discovery in Hierarchical Reinforcement Learning using Spatio-Temporal Clustering
A. Srinivas
Ramnandan Krishnamurthy
Peeyush Kumar
Balaraman Ravindran
19
41
0
17 May 2016
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in
  ATARI Games
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games
Xiaoxiao Guo
Satinder Singh
Richard L. Lewis
Honglak Lee
19
55
0
24 Apr 2016
Convolutional Two-Stream Network Fusion for Video Action Recognition
Convolutional Two-Stream Network Fusion for Video Action Recognition
Christoph Feichtenhofer
A. Pinz
Andrew Zisserman
60
2,605
0
22 Apr 2016
Dialog-based Language Learning
Dialog-based Language Learning
Jason Weston
LLMAG
24
108
0
20 Apr 2016
"What happens if..." Learning to Predict the Effect of Forces in Images
"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
Exploratory Gradient Boosting for Reinforcement Learning in Complex
  Domains
Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains
David Abel
Alekh Agarwal
Fernando Diaz
A. Krishnamurthy
Robert Schapire
OffRL
77
43
0
14 Mar 2016
Value Iteration Networks
Value Iteration Networks
Aviv Tamar
Yi Wu
G. Thomas
Sergey Levine
Pieter Abbeel
27
649
0
09 Feb 2016
Learning to Communicate to Solve Riddles with Deep Distributed Recurrent
  Q-Networks
Learning to Communicate to Solve Riddles with Deep Distributed Recurrent Q-Networks
Jakob N. Foerster
Yannis Assael
Nando de Freitas
Shimon Whiteson
18
147
0
08 Feb 2016
Learning Visual Predictive Models of Physics for Playing Billiards
Learning Visual Predictive Models of Physics for Playing Billiards
Katerina Fragkiadaki
Pulkit Agrawal
Sergey Levine
Jitendra Malik
11
260
0
23 Nov 2015
Deep multi-scale video prediction beyond mean square error
Deep multi-scale video prediction beyond mean square error
Michaël Mathieu
Camille Couprie
Yann LeCun
GAN
77
1,877
0
17 Nov 2015
Previous
12345