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GRULICH, L.
Original Title
Reinforcement learning system in Squeal Smalltalk
Type
conference paper
Language
English
Original Abstract
In this paper we describe a machine learning system implemented in Squeak Smalltalk. This system is developed on the base of so called reinforcement learning.In the first chapters there are outlined main features of the reinforcement learning, next chapters describe an agent created using this method. Finally, we presentdemonstration example and results of learning.
Keywords
Reinforcement learning, machine learning, generic agent
Authors
RIV year
2005
Released
13. 6. 2005
Location
Brno
ISBN
80-214-2890-2
Book
Proceedings of the 11th Conference Student EEICT 2005
Pages from
653
Pages to
657
Pages count
5
BibTex
@inproceedings{BUT21507, author="Lukáš {Grulich}", title="Reinforcement learning system in Squeal Smalltalk", booktitle="Proceedings of the 11th Conference Student EEICT 2005", year="2005", pages="653--657", address="Brno", isbn="80-214-2890-2" }