@inproceedings{6297e9bdf53a4fb2884a201479e6ed5c,
title = "Using advice to transfer knowledge acquired in one reinforcement learning task to another",
abstract = "We present a method for transferring knowledge learned in one task to a related task. Our problem solvers employ reinforcement learning to acquire a model for one task. We then transform that learned model into advice for a new task. A human teacher provides a mapping from the old task to the new task to guide this knowledge transfer. Advice is incorporated into our problem solver using a knowledge-based support vector regression method that we previously developed. This advice-taking approach allows the problem solver to refine or even discard the transferred knowledge based on its subsequent experiences. We empirically demonstrate the effectiveness of our approach with two games from the RoboCup soccer simulator: KeepAway and BreakAway. Our results demonstrate that a problem solver learning to play BreakAway using advice extracted from KeepAway outperforms a problem solver learning without the benefit of such advice.",
author = "Lisa Torrey and Trevor Walker and Jude Shavlik and Richard Maclin",
year = "2005",
doi = "10.1007/11564096_40",
language = "English (US)",
isbn = "3540292438",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "412--424",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
note = "16th European Conference on Machine Learning, ECML 2005 ; Conference date: 03-10-2005 Through 07-10-2005",
}