Abstract:

This paper proposes a new reinforcement learning knowledge transfer method based on a qualitative model. The method defines the qualitative model and extracts the common features of the suboptimal policy to obtain knowledge by qualitative fuzzy networks. The knowledge can represent the common features of the tasks with different parameters. The convergence can be accelerated by the knowledge unrelated to the parameters.

Key words: reinforcement learning;qualitative model;knowledge transfer