Using the ITS Components in Improving the Q-Learning Policy for Instructional Sequencing.
Amel YessadPublished in: ITS (2023)
Keyphrases
- optimal policy
- action selection
- reinforcement learning
- cooperative
- state space
- instructional design
- learning algorithm
- multi agent
- learning environment
- building blocks
- learning outcomes
- function approximation
- model free
- reward function
- multimedia
- single agent
- policy iteration
- infinite horizon
- learning rate
- student learning
- software components
- multi agent systems