Improving Computer Games Performance Using Batch Reinforcement Learning

ISBN-13: 9783659882371 / Angielski / Miękka / 2016 / 100 str.

Hebatullah Rashed

Opis

With the progress of researches in human brain, they found that when human learns something new, the brain cells structure is changed. That means it is possible to manufacture and develop intelligence. The idea is the same for the device. As intelligence requires knowledge, it is necessary for computers to learn and gain knowledge. Machine learning serves this purpose. With the rapid development of computer games we need continuous new techniques, because with the increasing numbers of players only a tough games with high policy, actions and tactics survive. This book will be useful to researchers who are interested in getting a good idea about computer games. We proposed a new algorithm based on LSPI (Batch Reinforcement Learning Algorithm) called Least-Squares Continuous Action Policy Iteration (LSCAPI). We implemented on two different types of games 8-queens board game and Glest and StarCraft Brood War real-time strategy (RTS) games. The book can have benefit for the beginners in computer games field, it gives sequential steps of the game as an idea ending with the implementation.

O autorze

Hebatullah Rashed is a Software Engineer born in Egypt in 1990. She graduated from Faculty of Computers and Information, Computer Science Department in 2011, and had received her Master's degree in Computer Science in 2016. Her wisdom in life is that "real science is not what you had learned, but how can you benefit the people with it".