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2110.03760
Cited By
Design Strategy Network: A deep hierarchical framework to represent generative design strategies in complex action spaces
7 October 2021
Ayush Raina
Jonathan Cagan
Christopher McComb
AI4CE
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Papers citing
"Design Strategy Network: A deep hierarchical framework to represent generative design strategies in complex action spaces"
11 / 11 papers shown
Title
In the Eye of the Beholder: Gaze and Actions in First Person Video
Yin Li
Miao Liu
James M. Rehg
EgoV
117
70
0
31 May 2020
Dota 2 with Large Scale Deep Reinforcement Learning
OpenAI OpenAI
:
Christopher Berner
Greg Brockman
Brooke Chan
...
Szymon Sidor
Ilya Sutskever
Jie Tang
Filip Wolski
Susan Zhang
GNN
VLM
CLL
AI4CE
LRM
92
1,811
0
13 Dec 2019
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents
Alex Mott
Daniel Zoran
Mike Chrzanowski
Daan Wierstra
Danilo Jimenez Rezende
43
190
0
06 Jun 2019
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
Jiechao Xiong
Qing Wang
Zhuoran Yang
Peng Sun
Lei Han
Yang Zheng
Haobo Fu
Tong Zhang
Ji Liu
Han Liu
44
170
0
10 Oct 2018
Frustum PointNets for 3D Object Detection from RGB-D Data
C. Qi
Wen Liu
Chenxia Wu
Hao Su
Leonidas Guibas
3DPC
127
2,257
0
22 Nov 2017
Thinking Fast and Slow with Deep Learning and Tree Search
Thomas W. Anthony
Zheng Tian
David Barber
78
387
0
23 May 2017
Generative Adversarial Imitation Learning
Jonathan Ho
Stefano Ermon
GAN
111
3,089
0
10 Jun 2016
Deep Reinforcement Learning in Parameterized Action Space
Matthew J. Hausknecht
Peter Stone
43
307
0
13 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
191
13,174
0
09 Sep 2015
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
174
4,653
0
21 Dec 2014
Recurrent Models of Visual Attention
Volodymyr Mnih
N. Heess
Alex Graves
Koray Kavukcuoglu
VLM
110
3,645
0
24 Jun 2014
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