Maximizing learning progress: An internal reward system for development

  • Kaplan F
  • Oudeyer P
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Abstract

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.

Author-supplied keywords

  • Active vision
  • Artificial intelligence
  • Reward

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Authors

  • Frederic Kaplan

  • Pierre-Yves Oudeyer

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