Path-finding using reinforcement learning and affective states.
Johannes FeldmaierKlaus DiepoldPublished in: RO-MAN (2014)
Keyphrases
- path finding
- affective states
- reinforcement learning
- intelligent tutoring systems
- path planning
- search algorithm
- heuristic search
- tutoring system
- mental states
- state space
- audio visual
- learning process
- optimal path
- human subjects
- multi modal
- multi agent
- learning algorithm
- hill climbing
- machine learning
- student model
- computer games
- artificial intelligence
- error rate
- knowledge acquisition