An Overview of Supervised Machine Learning Techniques in Evolving Mancala Game Player

DOI

10.2991/iccsee.2013.246How to use a DOI?

Keywords

supervisedt, machine learning, Awale, grandmaster, game

Abstract

supervised machine learning techniques have been employed to evolve Awale game players. This paper studies the various types of supervised learning techniques and views the performance against the Awale shareware. It also recommends a new benchmark for the game.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Randle Oluwarotimi Abayomi
AU  - Oludayo O. Olugbara
AU  - Lall Manosh
PY  - 2013/03
DA  - 2013/03
TI  - An Overview of Supervised Machine Learning Techniques in Evolving Mancala Game Player
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 978
EP  - 983
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.246
DO  - 10.2991/iccsee.2013.246
ID  - Abayomi2013/03
ER  -