[HTML][HTML] A scoping review of reinforcement learning in education
B Memarian, T Doleck - Computers and Education Open, 2024 - Elsevier
Abstract The use of Artificial Intelligence (AI) and Machine Learning algorithms is surging in
education. One of these methods, called Reinforcement Learning (RL) may be considered …
education. One of these methods, called Reinforcement Learning (RL) may be considered …
A generalized apprenticeship learning framework for modeling heterogeneous student pedagogical strategies
A key challenge in e-learning environments like Intelligent Tutoring Systems (ITSs) is to
induce effective pedagogical policies efficiently. While Deep Reinforcement Learning (DRL) …
induce effective pedagogical policies efficiently. While Deep Reinforcement Learning (DRL) …
More, May not the Better: Insights from Applying Deep Reinforcement Learning for Pedagogical Policy Induction
We presented two empirical studies to assess the efficacy of two Deep Reinforcement
Learning (DRL) frameworks on two distinct Intelligent Tutoring Systems (ITSs) to exploring …
Learning (DRL) frameworks on two distinct Intelligent Tutoring Systems (ITSs) to exploring …
[图书][B] Time-Aware Hierarchical EM Energy-Based Subsequence Learning for Inducing Offline Decision-Making Policies with Heterogeneous Reward Functions
X Yang - 2022 - search.proquest.com
Reward function plays a critical role in Reinforcement Learning (RL). Many tasks involve
manually crafted reward functions, which require expertise and have multiple factors …
manually crafted reward functions, which require expertise and have multiple factors …