Integrating Guidance into Relational Reinforcement Learning.

Reinforcement learning, and Q-learning in particular, encounter two major problems when dealing with large state spaces. First, learning the Q-function in tabular form may be infeasible because of the excessive amount of memory needed to store the table, and because the Q-function only converges aft...

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Bibliographic Details

Published in:	Machine learning. 57, 3 (2004).
Main Author:	Driessens, Kurt
Format:	Article
Language:	English
Subjects:	Reinforcement learning. Relational learning. Guided exploration.