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1611.07078
Cited By
A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games
21 November 2016
Felix Leibfried
Nate Kushman
Katja Hofmann
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ArXiv
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Papers citing
"A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games"
10 / 10 papers shown
Title
Video Prediction by Efficient Transformers
Xi Ye
Guillaume-Alexandre Bilodeau
ViT
39
33
0
12 Dec 2022
VPTR: Efficient Transformers for Video Prediction
Xi Ye
Guillaume-Alexandre Bilodeau
ViT
24
18
0
29 Mar 2022
OPEn: An Open-ended Physics Environment for Learning Without a Task
Chuang Gan
Abhishek Bhandwaldar
Antonio Torralba
J. Tenenbaum
Phillip Isola
LRM
133
4
0
13 Oct 2021
Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning
Pedro Tsividis
J. Loula
Jake Burga
Nathan Foss
Andres Campero
Thomas Pouncy
S. Gershman
J. Tenenbaum
LM&Ro
21
43
0
27 Jul 2021
Learning World Transition Model for Socially Aware Robot Navigation
Yuxiang Cui
Haodong Zhang
Yue Wang
R. Xiong
28
17
0
08 Nov 2020
Disentangling Controllable Object through Video Prediction Improves Visual Reinforcement Learning
Yuanyi Zhong
A. Schwing
Jian Peng
DRL
10
5
0
21 Feb 2020
Model-based Reinforcement Learning for Predictions and Control for Limit Order Books
Haoran Wei
Yuanbo Wang
L. Mangu
Keith S. Decker
13
24
0
09 Oct 2019
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations
Qiaoyun Wu
Dinesh Manocha
Jun Wang
Kai Xu
16
15
0
17 Jun 2019
Planning with Expectation Models
Yi Wan
M. Zaheer
Adam White
Martha White
R. Sutton
OffRL
11
23
0
02 Apr 2019
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
51
549
0
19 Jul 2017
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