Ordering Levels in Human Computation Games using Playtraces and Level Structure-Reference-Cited by-同舟云学术

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Ordering Levels in Human Computation Games using Playtraces and Level Structure

Published:2022-08-21 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Conference on Games (CoG)
language:
Short-container-title:

Author:

Sarkar Anurag¹,Cooper Seth¹

Affiliation:

1. Northeastern University,Boston,MA,USA

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9893561/9893544/09893702.pdf?arnumber=9893702

Reference13 articles.

1. Game level generation from gameplay videos;guzdial;AIIDE,2016

2. Evaluating single player and multiplayer in human computation games;siu;FDG,2017

3. Comparing paid and volunteer recruitment in human computation games

4. Scikit-learn: Machine learning in Python;pedregosa;Journal of Machine Learning Research,2011

5. Evaluating and comparing skill chains and rating systems for dynamic difficulty adjustment;sarkar;AIIDE,2020

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