Text as Environment: A Deep Reinforcement Learning Text Readability Assessment Model
Table 2. Hyperparameters of the proposed deep reinforcement learning text readability assessment model.
['[BOLD] Hyperparameter', '[BOLD] Value']
Deep reinforcement learning models demand numerous interactions with their environment to be sufficiently trained. The previous interactions of the DRL model are stored in [current-state, action, reward, next-state] tuples, which are fed multiple times to the DRL model during its training process. The reintroduction of previous experiences to the model increases the efficiency of data usage and prevents the model from forgetting older experiences.