Deakin University

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Exploring apprenticeship learning for player modelling in interactive narratives

conference contribution
posted on 2023-02-28, 01:16 authored by Jessica Rivera Villicana, F Zambetta, J Harland, M Berry
In this paper we present an early Apprenticeship Learning approach to mimic the behaviour of different players in a short adaption of the interactive fiction Anchorhead. Our motivation is the need to understand and simulate player behaviour to create systems to aid the design and person-alisation of Interactive Narratives (INs). INs are partially observable for the players and their goals are dynamic as a result. We used Receding Horizon IRL (RHIRL) to learn players’ goals in the form of reward functions, and derive policies to imitate their behaviour. Our preliminary results suggest that RHIRL is able to learn action sequences to complete a game, and provided insights towards generating behaviour more similar to specific players.



645 - 652



Title of proceedings

CHI PLAY 2019 - Extended Abstracts of the Annual Symposium on Computer-Human Interaction in Play