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Deep Reinforcement Learning using Genetic Algorithm for Parameter
  Optimization

Deep Reinforcement Learning using Genetic Algorithm for Parameter Optimization

19 February 2019
Adarsh Sehgal
Hung M. La
S. Louis
Hai V. Nguyen
    GP
ArXivPDFHTML

Papers citing "Deep Reinforcement Learning using Genetic Algorithm for Parameter Optimization"

10 / 10 papers shown
Title
Robotic Control of the Deformation of Soft Linear Objects Using Deep
  Reinforcement Learning
Robotic Control of the Deformation of Soft Linear Objects Using Deep Reinforcement Learning
Mélodie Hani Daniel Zakaria
Miguel Aranda
Laurent Lequievre
S. Lengagne
J. Corrales
Y. Mezouar
AI4CE
20
6
0
08 Dec 2023
A Semantic Modular Framework for Events Topic Modeling in Social Media
A Semantic Modular Framework for Events Topic Modeling in Social Media
Arya Hadizadeh Moghaddam
S. Momtazi
13
2
0
21 Jan 2023
New Challenges in Reinforcement Learning: A Survey of Security and
  Privacy
New Challenges in Reinforcement Learning: A Survey of Security and Privacy
Yunjiao Lei
Dayong Ye
Sheng Shen
Yulei Sui
Tianqing Zhu
Wanlei Zhou
33
18
0
31 Dec 2022
Deep Learning Hyperparameter Optimization for Breast Mass Detection in
  Mammograms
Deep Learning Hyperparameter Optimization for Breast Mass Detection in Mammograms
Adarsh Sehgal
Muskan Sehgal
Hung M. La
G. Bebis
14
2
0
22 Jul 2022
ARLO: A Framework for Automated Reinforcement Learning
ARLO: A Framework for Automated Reinforcement Learning
Marco Mussi
Davide Lombarda
Alberto Maria Metelli
F. Trovò
Marcello Restelli
OffRL
31
4
0
20 May 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Frank Hutter
Marius Lindauer
AI4CE
33
100
0
11 Jan 2022
Symbolic Regression via Neural-Guided Genetic Programming Population
  Seeding
Symbolic Regression via Neural-Guided Genetic Programming Population Seeding
T. Nathan Mundhenk
Mikel Landajuela
Ruben Glatt
Claudio Santiago
Daniel Faissol
Brenden K. Petersen
32
85
0
29 Oct 2021
Optimal Actor-Critic Policy with Optimized Training Datasets
Optimal Actor-Critic Policy with Optimized Training Datasets
C. Banerjee
Zhiyong Chen
N. Noman
M. Zamani
OffRL
25
7
0
16 Aug 2021
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
35
2
0
04 Jan 2021
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
34
79
0
17 Sep 2020
1