Reinforcement learning based techniques in uncertain environments: problems and solutions

Reinforcement learning based techniques in uncertain environments: problems and solutions

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...

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Bibliographic Details
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/
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

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