Summary of findings (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
The authors observed and measured the performance of the new reward functions .They also compared TRPO and TNPG algorithms and exploited LSTMs for the reward predictions.
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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)