Limitations (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
A key limitation of the study on using deep reinforcement learning for personalizing review sessions is the reliance on simulated data rather than a real student dataset. Furthermore, the manual configuration of TRPO parameters and a restriction of 200 steps per episode limit the number of exercises that can be modeled.
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