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researcher

Asko Relas

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.AI2

identity via Semantic Scholar / OpenAlex

most citedPredicting Game Difficulty and Churn Without Players

34 citations · 51 across the 2 of their papers we have counts for

collaborators
Showing cs.AIShow all

2 papers · 1 filter

cs.AI2021★ 17 cited

Predicting Game Engagement and Difficulty Using AI Players

Shaghayegh Roohi, Christian Guckelsberger, Asko Relas +3

This paper presents a novel approach to automated playtesting for the prediction of human player behavior and experience. It has previously been demonstrated that Deep Reinforcemen…

cs.AI2020★ 34 cited

Predicting Game Difficulty and Churn Without Players

Shaghayegh Roohi, Asko Relas, Jari Takatalo +2

We propose a novel simulation model that is able to predict the per-level churn and pass rates of Angry Birds Dream Blast, a popular mobile free-to-play game. Our primary contribut…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.