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AlphaSeq: Sequence Discovery with Deep Reinforcement Learning
v1v2v3 (latest)

AlphaSeq: Sequence Discovery with Deep Reinforcement Learning

26 September 2018
Yulin Shao
Soung Chang Liew
Taotao Wang
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "AlphaSeq: Sequence Discovery with Deep Reinforcement Learning"

4 / 4 papers shown
Title
Beyond Games: A Systematic Review of Neural Monte Carlo Tree Search
  Applications
Beyond Games: A Systematic Review of Neural Monte Carlo Tree Search Applications
Marco Kemmerling
Daniel Lutticke
Robert H. Schmitt
74
15
0
14 Mar 2023
Feedback is Good, Active Feedback is Better: Block Attention Active
  Feedback Codes
Feedback is Good, Active Feedback is Better: Block Attention Active Feedback Codes
Emre Ozfatura
Yulin Shao
Amin Ghazanfari
A. Perotti
Branislav M. Popović
Deniz Gunduz
AI4CE
48
6
0
03 Nov 2022
HpGAN: Sequence Search with Generative Adversarial Networks
HpGAN: Sequence Search with Generative Adversarial Networks
Mingxing Zhang
Zhengchun Zhou
Lanping Li
Zilong Liu
Mengjiao Yang
Yanghe Feng
GAN
20
2
0
10 Dec 2020
SAI, a Sensible Artificial Intelligence that plays Go
SAI, a Sensible Artificial Intelligence that plays Go
F. Morandin
G. Amato
R. Gini
C. Metta
Maurizio Parton
G. Pascutto
LLMAG
64
13
0
11 Sep 2018
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