Matching an opponent's performance in a real-time, dynamic environment

Jeremy A. Glasser; Leen Kiat Soh

Matching an opponent's performance in a real-time, dynamic environment

Jeremy A. Glasser, Leen Kiat Soh

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we explore high-level, strategic learning in a real-lime environment. Our long-term goal is to create a computer game that provides a continuous challenge without ever being too difficult that discourages players or too easy that it bores players. Towards this goal, we propose an agent that is able to observe its environment, measure its performance against the human player(s), and carries out appropriate actions to maintain that challenge. The agent also learns about its reasoning process through reinforcement. We have applied our methodology to the video game Unreal Tournament 2003. The preliminary results are encouraging.

Original language	English (US)
Title of host publication	Proceedings of the 2004 International Conference on Machine Learning and Applications, ICMLA '04
Editors	M. Kantardzic, O. Nasraoui, M. Milanova
Pages	57-64
Number of pages	8
State	Published - 2004
Event	2004 International Conference on Machine Learning and Applications, ICMLA '04 - Louisville, KY, United States Duration: Dec 16 2004 → Dec 18 2004

Publication series

Name	Proceedings of the 2004 International Conference on Machine Learning and Applications, ICMLA '04

Conference

Conference	2004 International Conference on Machine Learning and Applications, ICMLA '04
Country/Territory	United States
City	Louisville, KY
Period	12/16/04 → 12/18/04

ASJC Scopus subject areas

General Engineering

Cite this

Glasser, J. A., & Soh, L. K. (2004). Matching an opponent's performance in a real-time, dynamic environment. In M. Kantardzic, O. Nasraoui, & M. Milanova (Eds.), Proceedings of the 2004 International Conference on Machine Learning and Applications, ICMLA '04 (pp. 57-64). (Proceedings of the 2004 International Conference on Machine Learning and Applications, ICMLA '04).

Matching an opponent's performance in a real-time, dynamic environment. / Glasser, Jeremy A.; Soh, Leen Kiat.
Proceedings of the 2004 International Conference on Machine Learning and Applications, ICMLA '04. ed. / M. Kantardzic; O. Nasraoui; M. Milanova. 2004. p. 57-64 (Proceedings of the 2004 International Conference on Machine Learning and Applications, ICMLA '04).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Glasser, JA & Soh, LK 2004, Matching an opponent's performance in a real-time, dynamic environment. in M Kantardzic, O Nasraoui & M Milanova (eds), Proceedings of the 2004 International Conference on Machine Learning and Applications, ICMLA '04. Proceedings of the 2004 International Conference on Machine Learning and Applications, ICMLA '04, pp. 57-64, 2004 International Conference on Machine Learning and Applications, ICMLA '04, Louisville, KY, United States, 12/16/04.

Glasser, Jeremy A. ; Soh, Leen Kiat. / Matching an opponent's performance in a real-time, dynamic environment. Proceedings of the 2004 International Conference on Machine Learning and Applications, ICMLA '04. editor / M. Kantardzic ; O. Nasraoui ; M. Milanova. 2004. pp. 57-64 (Proceedings of the 2004 International Conference on Machine Learning and Applications, ICMLA '04).

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Matching an opponent's performance in a real-time, dynamic environment

Abstract

Publication series

Conference

ASJC Scopus subject areas

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