Maximizing Learning Progress: An Internal Reward System for Development

This chapter presents a generic internal reward system that drives an agent to increase the complexity of its behavior. This reward system does not reinforce a predefined task. Its purpose is to drive the agent to progress in learning given its embodiment and the environment in which it is placed. The dynamics created by such a system are studied first in a simple environment and then in the context of active vision.

• Type: Conference
• Year: 2003
• Where: DAGSTUHL
• Authors: Frédéric Kaplan, Pierre-Yves Oudeyer
• Keywords: DAGSTUHL 2003, DAGSTUHL 2007, Generic Internal Reward, Reward System, Simple Environment