Optimizing Representations and Policies for Question Sequencing using Reinforcement Learning

Keyphrases

• Reinforcement Learning 100%
• State Space 50%
• Monte Carlo 50%
• Student Interaction 50%
• Policy-based 50%
• Diverse Students 50%
• Weak Learner 50%
• Educational Settings 50%
• State Representation 50%
• Importance Sampling 50%
• Educational Content 50%
• Publicly Available Dataset 50%
• Online Activities 50%
• Policy Evaluation 50%
• Learning Policy 50%
• Strong Learner 50%
• Environment Dynamics 50%
• Robust Representation 50%
• Content Sequencing 50%
• Offline Evaluation 50%
• Online Learning Materials 50%

Computer Science

• Reinforcement Learning 100%
• State Space 50%
• Online Learning 50%
• Student Interaction 50%
• Dynamic Environment 50%
• Importance Sampling 50%
• Online Activity 50%
• Learning Materials 50%

Psychology

• Online Learning 100%