| DOI | Trouver le DOI : https://doi.org/10.1007/978-3-031-19679-9_63 |
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| Auteur | Rechercher : Aziz, Rifah Sama1Identifiant ORCID : https://orcid.org/0000-0003-3533-0782; Rechercher : Emond, Bruno1Identifiant ORCID : https://orcid.org/0000-0003-0901-8293 |
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| Affiliation | - Conseil national de recherches Canada. Technologies numériques
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| Format | Texte, Article |
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| Conférence | 24th International Conference on Human-Computer Interaction, HCII 2022, June 26 – July 1, 2022, Virtual Event |
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| Sujet | autonomous agents; virtual reality; pedagogical strategies; reinforcement learning |
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| Résumé | Pedagogical learning among agents have the power to influence the learning of a new learner in several ways. While such pedagogical approaches of student-teacher interactions are applied on popular games with complex environments, we propose the use of pedagogical learning strategies among autonomous agents on a virtual reality (VR) training application in order to automate the existing tutoring system in the application. Creating four reinforcement learning (RL) agents with Q-Learning algorithm, we experiment the agents with different reward functions to choose the best performer as the tutor. We apply the pedagogical strategy with a budget between the tutor and the learner agent resulting in improvements in the learner’s performance. |
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| Date de publication | 2022-11-24 |
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| Maison d’édition | Springer Nature Switzerland |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | 092abd61-a800-412c-968e-a86ec8f21029 |
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| Enregistrement créé | 2023-01-20 |
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| Enregistrement modifié | 2023-01-20 |
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