Dataset of UAI 2021 Paper "An Unsupervised Video Game Playstyle Metric via State Discretization"

Name: Dataset of UAI 2021 Paper "An Unsupervised Video Game Playstyle Metric via State Discretization"
Creator: Chiu-Chou Lin
Keywords: Discrete Representation Learning, Video Game, Playstyle, Deep Reinforcement Learning, Artificial Intelligence

Chiu-Chou Lin

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Dataset . 2023

License: CC BY

Data sources: Datacite

ZENODO

Dataset . 2023

License: CC BY

Data sources: Datacite

Dataset of UAI 2021 Paper "An Unsupervised Video Game Playstyle Metric via State Discretization"

Research datakeyboard_double_arrow_right Dataset 28 Jul 2023Publisher:Zenodo

Authors: Chiu-Chou Lin;

doi: 10.5281/zenodo.8191453 , 10.5281/zenodo.8191452

Dataset of UAI 2021 Paper "An Unsupervised Video Game Playstyle Metric via State Discretization"

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Abstract

This is a part of dataset of the paper published in UAI 2021 (37th Conference on Uncertainty in Artificial Intelligence). Including training datasets, testing datasets, and HSD models of three game platforms used in the paper: TORCS, RGSK, and Atari. The example program for using this file will be put on the author's github repo branch: https://github.com/DSobscure/cgi_drl_platform/tree/playstyle_uai2021

Related Organizations

National Chiao Tung University
Taiwan

Keywords

Discrete Representation Learning, Video Game, Playstyle, Deep Reinforcement Learning, Artificial Intelligence

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