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Reinforcement Learning I: Introduction (1998)
by
Richard S. Sutton
,
Andrew G. Barto
| Citations: | 5607 - 118 self |
BibTeX
@MISC{Sutton98reinforcementlearning,
author = {Richard S. Sutton and Andrew G. Barto},
title = {Reinforcement Learning I: Introduction},
year = {1998}
}
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Abstract
In which we try to give a basic intuitive sense of what reinforcement learning is and how it differs and relates to other fields, e.g., supervised learning and neural networks, genetic algorithms and artificial life, control theory. Intuitively, RL is trial and error (variation and selection, search) plus learning (association, memory). We argue that RL is the only field that seriously addresses the special features of the problem of learning from interaction to achieve long-term goals.
