10 citations · 34 across the 12 of their papers we have counts for
5 papers · 1 filter
Reinforcement Learning in Education: A Multi-Armed Bandit Approach
Herkulaas Combrink, Vukosi Marivate, Benjamin Rosman
Advances in reinforcement learning research have demonstrated the ways in which different agent-based models can learn how to optimally perform a task within a given environment. R…
A Framework for Undergraduate Data Collection Strategies for Student Support Recommendation Systems in Higher Education
Herkulaas MvE Combrink, Vukosi Marivate, Benjamin Rosman
Understanding which student support strategies mitigate dropout and improve student retention is an important part of modern higher educational research. One of the largest challen…
Comparing Synthetic Tabular Data Generation Between a Probabilistic Model and a Deep Learning Model for Education Use Cases
Herkulaas MvE Combrink, Vukosi Marivate, Benjamin Rosman
The ability to generate synthetic data has a variety of use cases across different domains. In education research, there is a growing need to have access to synthetic data to test…
World Value Functions: Knowledge Representation for Multitask Reinforcement Learning
Geraud Nangue Tasse, Steven James, Benjamin Rosman
An open problem in artificial intelligence is how to learn and represent knowledge that is sufficient for a general agent that needs to solve multiple tasks in a given world. In th…
Learning Abstract and Transferable Representations for Planning
Steven James, Benjamin Rosman, George Konidaris
We are concerned with the question of how an agent can acquire its own representations from sensory data. We restrict our focus to learning representations for long-term planning,…