With EFC student model (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
When the number of items was increased, there was not significant increase in the performances of the DRL agent with EFC relative to the random policy.(likelihood as the reward function). In case of log likelihood reward function there DLR agent with the EFC performance was slightly decreased relative to the random policy.
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With EFC student model (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
With HLR student model (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)
With DASH (GPL) student model (Using deep reinforcement learning for personalizing review sessions on e-learning platforms with spaced repetition)