An Improved Reinforcement Learning System Using Affective Factors.
Takashi KuremotoTetsuya TsurusakiKunikazu KobayashiShingo MabuMasanao ObayashiPublished in: Robotics (2013)
Keyphrases
- reinforcement learning
- learning process
- factors that influence
- function approximation
- factors that affect
- multi agent
- state space
- model free
- active learning
- temporal difference
- factors affecting
- transfer learning
- reinforcement learning algorithms
- factors influencing
- optimal control
- markov decision processes
- database
- human computer interaction
- supervised learning
- website
- e learning