Autoencoder-augmented Neuroevolution for Visual Doom Playing

12 July 2017

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

13 / 13 papers shown

Title
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 Mrunal Jadhav Matthew J. Guzdial AI4TS 11 10 0 07 Oct 2021
Low Dimensional State Representation Learning with Reward-shaped Priors N. Botteghi Ruben Obbink D. Geijs M. Poel B. Sirmaçek C. Brune A. Mersha Stefano Stramigioli SSL OffRL 11 4 0 29 Jul 2020
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 47 351 0 27 Apr 2020
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 37 9 0 27 Apr 2020
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 Sergey I. Nikolenko 46 348 0 25 Sep 2019
Deep Neuroevolution of Recurrent and Discrete World Models S. Risi Kenneth O. Stanley OCL 19 53 0 28 Apr 2019
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 David R Ha Jürgen Schmidhuber SyDa TPM 49 919 0 04 Sep 2018
World Models David R Ha Jürgen Schmidhuber SyDa 32 1,031 0 27 Mar 2018
Automated Curriculum Learning by Rewarding Temporally Rare Events Niels Justesen S. Risi OffRL 35 20 0 19 Mar 2018
State Representation Learning for Control: An Overview Timothée Lesort Natalia Díaz Rodríguez Jean-François Goudou David Filliat OffRL 28 319 0 12 Feb 2018