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Active and Independent Learning in Blended Learning. An Analysis of Student Characteristics, Trace Data, and Academic Performance
DownloadSpring 2021
In Higher Education, instructors provide students with opportunities to develop essential knowledge, competencies and skills. To offer students the highest quality learning experiences, effective instructors analyze their practice, intentionally seek to identify and check their teaching...
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Hindsight Rational Learning for Sequential Decision-Making: Foundations and Experimental Applications
DownloadFall 2022
This thesis develops foundations for the development of dependable, scalable reinforcement learning algorithms with strong connections to game theory. I present a version of rationality for learning---one grounded in the learner's experience and connected with the rationality concepts of...
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Spring 2022
The concept of state is fundamental to a reinforcement learning agent. The state is the input to the agent's action-selection policy, value functions, and environmental model. A reinforcement learning agent interacts with the environment by performing actions and receiving observations, resulting...