Results (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
The results of the study on using deep reinforcement learning for personalizing review sessions with spaced repetition explore five key areas: (1) the relation between rewards and thresholds, (2) the performance of the deep reinforcement learning (DRL) agent when the number of items is varied, (3) a comparison of the performance of the TRPO and TNPG algorithms, (4) a comparison between likelihood-based and average sum of outcomes-based reward functions, and (5) the performance of TRPO with reward shaping.
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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
Performance of DRL agent when the number of items are varied (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Comparison of Performance of TRPO and TNPG algorithms (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Comparison between likelihood and average of sum of outcomes based reward functions (research objective) (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Performance of TRPO with reward shaping (research objective) (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Observed Relation Between Rewards and Thresholds (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)