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Adaptive studying through reinforcement learning - A reinforcement learning approach to personalized study planning
This thesis investigates the use of reinforcement learning for adaptive study planning. A custom study environment was developed in which an agent attempts to reach a study goal while managing factors such as progress, fatigue, stress, and available time. Two reinforcement learning approaches wer
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