Path-finding using reinforcement learning and affective states.

Johannes Feldmaier Klaus Diepold

Published 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