Hierarchical gaussian reinforcement learning for path planning in uncertain environments
Most of the issues in planning and controlling of robots are caused by uncertainties in the actuators and sensors of robots. Path planning is of paramount importance for autonomous mobile robots. This paper presents a path planning approach that is based on hierarchical Gaussian reinforcement learni...
Main Authors: | AlDahoul, Nouar, Htike@Muhammad Yusof, Zaw Zaw, Akmeliawati, Rini, Shafie, Amir Akramin |
---|---|
Format: | Article |
Language: | English |
Published: |
Research India Publications
2015
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/43050/ http://irep.iium.edu.my/43050/ http://irep.iium.edu.my/43050/1/2_35120-__Paper_code_-_IJAER_ok_20029-20040.pdf |
Similar Items
-
Reinforcement learning based techniques in uncertain environments: problems and solutions
by: AlDahoul, Nouar, et al.
Published: (2015) -
Hierarchical extreme learning machine based reinforcement
learning for goal localization
by: AlDahoul, Nouar, et al.
Published: (2017) -
A monocular view-invariant fall detection system for the elderly in assisted home environments
by: Htike@Muhammad Yusof, Zaw Zaw, et al.
Published: (2011) -
Viewpoint invariant reconstruction of 3D human skeleton from monocular images
by: Htike@Muhammad Yusof, Zaw Zaw
Published: (2010) -
Utilizing hierarchical extreme learning machine based reinforcement learning for object sorting
by: AlDahoul, Nouar, et al.
Published: (2019)