Works (4)
Updated: July 5th, 2023 15:05
2021 chapter book
Evaluating Critical Reinforcement Learning Framework in the Field
Event: Springer International Publishing
author keywords: Critical decisions; Reinforcement learning; ITS
Sources: Web Of Science, ORCID, Crossref
Added: November 28, 2022
2021 article
Leveraging Granularity: Hierarchical Reinforcement Learning for Pedagogical Policy Induction
Zhou, G., Azizsoltani, H., Ausin, M. S., Barnes, T., & Chi, M. (2021, August 16). INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, Vol. 8.
author keywords: Hierarchical reinforcement learning; Decision granularity; Pedagogical policy
TL;DR:
An offline, off-policy Gaussian Processes based Hierarchical Reinforcement Learning (HRL) framework is proposed and applied to induce a hierarchical pedagogical policy that makes adaptive, effective decisions at both the problem and step levels.
(via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 23, 2021
2019 article
Hierarchical Reinforcement Learning for Pedagogical Policy Induction
ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2019), PT I, Vol. 11625, pp. 544–556.
author keywords: Hierarchical Reinforcement Learning; Pedagogical policies
TL;DR:
This paper proposes and applies an offline, off-policy Gaussian Processes based Hierarchical Reinforcement Learning (HRL) framework to induce a hierarchical pedagogical policy that makes decisions at both problem and step levels and shows that the HRL policy is significantly more effective than a Deep Q-Network induced policy and a random yet reasonable baseline policy.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions
(OpenAlex)
Sources: Web Of Science, ORCID
Added: December 2, 2019
2015 conference paper
Data-driven worked examples improve retention and completion in a logic tutor
Artificial intelligence in education, aied 2015, 9112, 726–729.
Source: NC State University Libraries
Added: August 6, 2018
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