Java Resources for Teaching Reinforcement Learning

— In this paper we present a library of classes for programming reinforcement learning simulations in Java. This library is based upon the standard by Sutton and Santamaria [1], with valuable additions to simplify the implementation of the software for selected temporaldifference control algorithms and various memory models. We also present arguments for the integration of this library into the curriculum of a Java-based undergraduate course in Artificial Intelligence.

• Type: Conference
• Year: 2003
• Where: PDPTA
• Authors: Amy J. Kerr, Todd W. Neller, Christopher J. La Pilla, Michael D. Schompert
• Keywords: PDPTA 2003, PDPTA 2007, Reinforcement Learning Simulations, Temporaldifference Control Algorithms, Various Memory Models