Publication result detail

Reinforcement learning System in Squeak Smalltalk

GRULICH, L.

Original Title

Reinforcement learning System in Squeak Smalltalk

English Title

Reinforcement learning System in Squeak Smalltalk

Type

Paper in proceedings outside WoS and Scopus

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 present
demonstration example and results of learning.

English 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 present
demonstration example and results of learning.

Keywords

Reinforcement learning, machine learning, generic agent

Key words in English

Reinforcement learning, machine learning, generic agent

Authors

GRULICH, L.

RIV year

2011

Released

13.06.2005

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 Squeak Smalltalk",
  booktitle="Proceedings of the 11th Conference Student EEICT 2005",
  year="2005",
  pages="653--657",
  address="Brno",
  isbn="80-214-2890-2"
}