Title

Neural Network AI for FightingICE

Author(s) Information

Alan D. Robison, California Polytechnic State University, San Luis ObispoFollow

Department - Author 1

Computer Engineering Department

Degree Name - Author 1

BS in Computer Engineering

Date

6-2017

Primary Advisor

Foaad Khosmood

Abstract/Summary

Game AI in the fighting game genre, along the lines of Street Fighter, Mortal Kombat and Tekken, is traditionally script-based, with hard-coded reactions to various situations. Though this approach is often easy to understand and tweak, it requires substantial time and understanding of the game to implement in a way that is challenging and satisfying for the player due to the very large possibility space. This paper explores the use of neural networks as an alternative approach by implementing and training a network to select an action to take each frame based on the game state.

URL: https://digitalcommons.calpoly.edu/cpesp/247