Experiments (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
- Experimental Setup
- Reward functions and performance metrics
- Training the LSTM
- Relation between rewards and thresholds
- Performance of RL agent when the number of items are varied
- Performance of TRPO vs. TNPG algorithms
- Comparison between likelihood and average of sum of outcomes based reward functions (research objective)
- Performance of TRPO with reward shaping (research objective)
- Evaluation
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Dataset (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Systems and Tools (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Experiments (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Learn After
Experimental Setup (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Reward functions and performance metrics (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Training the LSTM (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Relation between rewards and thresholds (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Performance of RL agent when the number of items are varied (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
Performance of TRPO vs. TNPG algorithms (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)
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)
Evaluation (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)