Cargando…
Exploring the Impact of Simple Explanations and Agency on Batch Deep Reinforcement Learning Induced Pedagogical Policies
In recent years, Reinforcement learning (RL), especially Deep RL (DRL), has shown outstanding performance in video games from Atari, Mario, to StarCraft. However, little evidence has shown that DRL can be successfully applied to real-life human-centric tasks such as education or healthcare. Differen...
Autores principales: | Sanz Ausin, Markel, Maniktala, Mehak, Barnes, Tiffany, Chi, Min |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334180/ http://dx.doi.org/10.1007/978-3-030-52237-7_38 |
Ejemplares similares
-
Enhancing a student productivity model for adaptive problem-solving assistance
por: Maniktala, Mehak, et al.
Publicado: (2022) -
Corroborating evidence refutes batch effect as explanation for fetal bacteria
por: Rackaityte, E., et al.
Publicado: (2021) -
Online Pedagogical Tutorial Tactics Optimization Using Genetic-Based Reinforcement Learning
por: Lin, Hsuan-Ta, et al.
Publicado: (2015) -
Beyond policy narratives: exploring the role of pedagogical beliefs in classroom practices of secondary school Civics and Ethical Education teachers
por: Habte, Alemayehu, et al.
Publicado: (2021) -
Integrating pedagogical content knowledge and pedagogical/psychological knowledge in mathematics
por: Harr, Nora, et al.
Publicado: (2014)