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…