Deep Learning-Based Goal Recognition in Open-Ended Digital Games

  title={Deep Learning-Based Goal Recognition in Open-Ended Digital Games},
  author={Wookhee Min and Eunyoung Ha and Jonathan P. Rowe and Bradford W. Mott and James C. Lester},
While many open-ended digital games feature non-linear storylines and multiple solution paths, it is challenging for game developers to create effective game experiences in these settings due to the freedom given to the player. To address these challenges, goal recognition, a computational player-modeling task, has been investigated to enable digital games to dynamically predict players’ goals. This paper presents a goal recognition framework based on stacked denoising autoencoders, a variant… CONTINUE READING
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