Enhancing Video Games Policy Based on Least-Squares Continuous Action Policy Iteration: Case Study on StarCraft Brood War and Glest RTS Games and the 8 Queens Board Game
المؤلفون المشاركون
Sarhan, Shahenda
Abu ElSoud, Mohamed
Rashed, Hebatullah
المصدر
International Journal of Computer Games Technology
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-01-03
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
With the rapid advent of video games recently and the increasing numbers of players and gamers, only a tough game with high policy, actions, and tactics survives.
How the game responds to opponent actions is the key issue of popular games.
Many algorithms were proposed to solve this problem such as Least-Squares Policy Iteration (LSPI) and State-Action-Reward-State-Action (SARSA) but they mainly depend on discrete actions, while agents in such a setting have to learn from the consequences of their continuous actions, in order to maximize the total reward over time.
So in this paper we proposed a new algorithm based on LSPI called Least-Squares Continuous Action Policy Iteration (LSCAPI).
The LSCAPI was implemented and tested on three different games: one board game, the 8 Queens, and two real-time strategy (RTS) games, StarCraft Brood War and Glest.
The LSCAPI evaluation proved superiority over LSPI in time, policy learning ability, and effectiveness.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Sarhan, Shahenda& Abu ElSoud, Mohamed& Rashed, Hebatullah. 2016. Enhancing Video Games Policy Based on Least-Squares Continuous Action Policy Iteration: Case Study on StarCraft Brood War and Glest RTS Games and the 8 Queens Board Game. International Journal of Computer Games Technology،Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1105578
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Sarhan, Shahenda…[et al.]. Enhancing Video Games Policy Based on Least-Squares Continuous Action Policy Iteration: Case Study on StarCraft Brood War and Glest RTS Games and the 8 Queens Board Game. International Journal of Computer Games Technology No. 2016 (2016), pp.1-14.
https://search.emarefa.net/detail/BIM-1105578
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Sarhan, Shahenda& Abu ElSoud, Mohamed& Rashed, Hebatullah. Enhancing Video Games Policy Based on Least-Squares Continuous Action Policy Iteration: Case Study on StarCraft Brood War and Glest RTS Games and the 8 Queens Board Game. International Journal of Computer Games Technology. 2016. Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1105578
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1105578
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر