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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Research India Publications
2015
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iium-430512017-11-07T08:15:09Z http://irep.iium.edu.my/43051/ Reinforcement learning based techniques in uncertain environments: problems and solutions AlDahoul, Nouar Htike@Muhammad Yusof, Zaw Zaw Akmeliawati, Rini Shafie, Amir Akramin Khan, Sheroz AI Indexes (General) 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 faced by RL in unknown and unstructured environments. It reviews problems of RL and solutions using different variants of RL namely: hierarchical RL, Bayesian model based learning, and Partially observable Markov decision processes (POMDP). Research India Publications 2015 Article PeerReviewed application/pdf en http://irep.iium.edu.my/43051/1/2_35185_-_IJAER_ok_20055-20066.pdf application/pdf en http://irep.iium.edu.my/43051/4/43051_Reinforcement%20learning%20based%20techniques%20in%20uncertain%20environments_SCOPUS.pdf AlDahoul, Nouar and Htike@Muhammad Yusof, Zaw Zaw and Akmeliawati, Rini and Shafie, Amir Akramin and Khan, Sheroz (2015) Reinforcement learning based techniques in uncertain environments: problems and solutions. International Journal of Applied Engineering Research, 10 (8). pp. 20055-20066. ISSN 0973-4562 http://www.ripublication.com |
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AI Indexes (General) AlDahoul, Nouar Htike@Muhammad Yusof, Zaw Zaw Akmeliawati, Rini Shafie, Amir Akramin Khan, Sheroz Reinforcement learning based techniques in uncertain environments: problems and solutions |
description |
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 faced by RL in unknown and unstructured environments. It reviews problems of RL and solutions using different variants of RL namely: hierarchical RL, Bayesian model based learning, and Partially observable Markov decision processes (POMDP). |
format |
Article |
author |
AlDahoul, Nouar Htike@Muhammad Yusof, Zaw Zaw Akmeliawati, Rini Shafie, Amir Akramin Khan, Sheroz |
author_facet |
AlDahoul, Nouar Htike@Muhammad Yusof, Zaw Zaw Akmeliawati, Rini Shafie, Amir Akramin Khan, Sheroz |
author_sort |
AlDahoul, Nouar |
title |
Reinforcement learning based techniques in uncertain environments: problems and solutions |
title_short |
Reinforcement learning based techniques in uncertain environments: problems and solutions |
title_full |
Reinforcement learning based techniques in uncertain environments: problems and solutions |
title_fullStr |
Reinforcement learning based techniques in uncertain environments: problems and solutions |
title_full_unstemmed |
Reinforcement learning based techniques in uncertain environments: problems and solutions |
title_sort |
reinforcement learning based techniques in uncertain environments: problems and solutions |
publisher |
Research India Publications |
publishDate |
2015 |
url |
http://irep.iium.edu.my/43051/ 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 |
first_indexed |
2023-09-18T21:01:19Z |
last_indexed |
2023-09-18T21:01:19Z |
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1777410642426200064 |