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Autoencoder-augmented Neuroevolution for Visual Doom Playing

Autoencoder-augmented Neuroevolution for Visual Doom Playing

12 July 2017
Samuel Alvernaz
Julian Togelius
ArXivPDFHTML

Papers citing "Autoencoder-augmented Neuroevolution for Visual Doom Playing"

9 / 9 papers shown
Title
Will GPT-4 Run DOOM?
Will GPT-4 Run DOOM?
Adrian de Wynter
LM&Ro
MLLM
49
5
0
08 Mar 2024
Tile Embedding: A General Representation for Procedural Level Generation
  via Machine Learning
Tile Embedding: A General Representation for Procedural Level Generation via Machine Learning
Mrunal Jadhav
Matthew J. Guzdial
AI4TS
9
10
0
07 Oct 2021
First return, then explore
First return, then explore
Adrien Ecoffet
Joost Huizinga
Joel Lehman
Kenneth O. Stanley
Jeff Clune
47
350
0
27 Apr 2020
Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems
Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems
Eseoghene Ben-Iwhiwhu
Pawel Ladosz
Jeffery Dick
Wen‐Hua Chen
Praveen K. Pilly
Andrea Soltoggio
35
9
0
27 Apr 2020
Deep Innovation Protection: Confronting the Credit Assignment Problem in
  Training Heterogeneous Neural Architectures
Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures
S. Risi
Kenneth O. Stanley
30
4
0
29 Dec 2019
Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Sergey I. Nikolenko
46
348
0
25 Sep 2019
Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks
Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks
K. Ellefsen
J. Tørresen
22
1
0
04 Apr 2019
Recurrent World Models Facilitate Policy Evolution
Recurrent World Models Facilitate Policy Evolution
David R Ha
Jürgen Schmidhuber
SyDa
TPM
34
919
0
04 Sep 2018
Automated Curriculum Learning by Rewarding Temporally Rare Events
Automated Curriculum Learning by Rewarding Temporally Rare Events
Niels Justesen
S. Risi
OffRL
32
20
0
19 Mar 2018
1