Aug 16, 2021 · In this work, we first investigate the impact of decision granularity on student learning, and then, apply hierarchical reinforcement learning ( ...
– Our analysis of the HRL policy's decision-making sheds some light on how to leverage the impact of decision granularity to improve student learning. 2 The ...
Dec 9, 2024 · Results from an empirical classroom study showed that the HRL policy was significantly more effective than an algorithm that combines deep ...
In this paper, we propose and apply an offline, off-policy Gaussian Processes based Hierarchical Reinforcement Learning (HRL) framework to induce a hierarchical ...
The impact of decision agency & granularity on aptitude treatment interaction in tutoring. In Proceedings of the 39th annual conference of the cognitive science ...
In this work, we pro- pose and apply an offline hierarchical reinforcement learning. (HRL) framework to induce a pedagogical policy that makes decisions at two ...
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In this paper, we propose and apply an offline, off-policy Gaussian Processes based Hierarchical Reinforcement Learning (HRL) framework to induce a hierarchical ...
ABSTRACT. Deep Reinforcement Learning (DRL) has been shown to be a very powerful technique in recent years on a wide range of applications.
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Jan 1, 2019 · In this paper, we propose and apply an offline, off-policy Gaussian Processes based Hierarchical Reinforcement Learning (HRL) framework to ...
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Leveraging granularity: Hierarchical reinforcement learning for pedagogical policy induction. G Zhou, H Azizsoltani, MS Ausin, T Barnes, M Chi. International ...