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Fitness Approximation through Machine Learning

Fitness Approximation through Machine Learning

6 September 2023
Itai Tzruia
Tomer Halperin
Moshe Sipper
Achiya Elyasaf
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Papers citing "Fitness Approximation through Machine Learning"

4 / 4 papers shown
Title
Optimizing Hearthstone Agents using an Evolutionary Algorithm
Optimizing Hearthstone Agents using an Evolutionary Algorithm
Pablo García-Sánchez
Alberto Tonda
Antonio J. Fernández-Leiva
Carlos Cotta
48
24
0
25 Oct 2024
Evolving Assembly Code in an Adversarial Environment
Evolving Assembly Code in an Adversarial Environment
Irina Maliukov
Gera Weiss
Oded Margalit
Achiya Elyasaf
16
0
0
28 Mar 2024
Deep Surrogate Assisted MAP-Elites for Automated Hearthstone
  Deckbuilding
Deep Surrogate Assisted MAP-Elites for Automated Hearthstone Deckbuilding
Yulun Zhang
Matthew C. Fontaine
Amy K. Hoover
S. Nikolaidis
67
32
0
07 Dec 2021
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
160
25,150
0
09 Jun 2011
1