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Dealing with Adversarial Player Strategies in the Neural Network Game
  iNNk through Ensemble Learning

Dealing with Adversarial Player Strategies in the Neural Network Game iNNk through Ensemble Learning

5 July 2021
Mathias Löwe
Jennifer Villareale
Evan Freed
Aleksanteri Sladek
Jichen Zhu
S. Risi
    AAML
ArXivPDFHTML

Papers citing "Dealing with Adversarial Player Strategies in the Neural Network Game iNNk through Ensemble Learning"

2 / 2 papers shown
Title
Evolving Mario Levels in the Latent Space of a Deep Convolutional
  Generative Adversarial Network
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network
Vanessa Volz
Jacob Schrum
Jialin Liu
Simon Lucas
Adam M. Smith
S. Risi
GAN
65
229
0
02 May 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,102
0
04 Nov 2016
1