G. Kuhlmann, P. Stone, R. Mooney & J. Shavlik (2004).
Guiding a Reinforcement Learner with Natural Language Advice: Initial Results in RoboCup Soccer. Proceedings of the AAAI Workshop on Supervisory Control of Learning and Adaptive Systems, San Jose, CA, USA.
This publication is available in PDF and available in postscript.
We describe our current efforts towards creating a reinforcement learner that learns both from reinforcements provided by its environment and from human-generated advice. Our research involves two complementary components: (a) mapping advice expressed in English to a formal advice language and (b) using advice expressed in a formal notation in a reinforcement learner. We use a subtask of the challenging RoboCup simulated soccer task (Noda et al. 1998) as our testbed.
Computer Sciences Department
College of Letters and Science
University of Wisconsin - Madison
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