Reinforcement learning based techniques in uncertain environments: problems and solutions

• Main Authors: AlDahoul, Nouar, Htike@Muhammad Yusof, Zaw Zaw, Akmeliawati, Rini, Shafie, Amir Akramin, Khan, Sheroz
• Format: Article
• Language: English; English
• Published: Research India Publications 2015
• Subjects: AI Indexes (General)
• Online Access: http://irep.iium.edu.my/43051/1/2_35185_-_IJAER_ok_20055-20066.pdf; http://irep.iium.edu.my/43051/4/43051_Reinforcement%20learning%20based%20techniques%20in%20uncertain%20environments_SCOPUS.pdf; http://irep.iium.edu.my/43051/; http://www.ripublication.com
• Institution: Universiti Islam Antarabangsa Malaysia

Reinforcement learning (RL) is a well-known class of machine learning algorithms used in planning and controlling of autonomous agents. Most of the issues in planning and controlling of robots are caused by uncertainties in the actuators and sensors of robots. The paper discusses important issues fa...