Discussions (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
The Discussions section of this paper interprets the study's results through six subsections: (1) a summary of findings, (2) the usefulness of the average-of-sum-of-outcomes reward function, (3) the usefulness of an LSTM for reward prediction, (4) limitations, (5) sustainability and ethics, and (6) future work.
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Introduction (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Reference (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Background and Related Work (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Method and Experiments (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Results (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Discussions (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Learn After
Summary of findings (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Limitations (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Sustainability and Ethics (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Future Work (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Usefulness of LSTM for Reward Prediction (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Usefulness of the Average-of-Sum-of-Outcomes Reward Function (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)