Improvement of Sequential Prediction Algorithm for Player's Action Prediction
Yong-Woo Shin, TaeChoong Chung · Journal of Internet Computing and services · 2010
It takes quite amount of time to study a game because there are many game characters and different stages are exist for games. This paper used reinforcement learning algorithm for characters to learn, and so they can move intelligently. On learning early, the learning speed becomes slow. Improved sequential prediction method was used to improve the speed of learning. To compare a normal learning to an improved one, a game was created. As a result, improved character‘s ability was improved 30% on learning speed.