16 citations · 34 across the 5 of their papers we have counts for
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cs.AI2023★ 16 cited
Estimating player completion rate in mobile puzzle games using reinforcement learning
Jeppe Theiss Kristensen, Arturo Valdivia, Paolo Burelli
In this work we investigate whether it is plausible to use the performance of a reinforcement learning (RL) agent to estimate the difficulty measured as the player completion rate…
cs.AI2021★ 10 cited
Statistical Modelling of Level Difficulty in Puzzle Games
Jeppe Theiss Kristensen, Arturo Valdivia, Paolo Burelli
Successful and accurate modelling of level difficulty is a fundamental component of the operationalisation of player experience as difficulty is one of the most important and commo…