Output details
11 - Computer Science and Informatics
Liverpool Hope University
Article title
A Deterministic Improved Q-Learning for Path Planning of a Mobile Robot
Type
D - Journal article
Title of journal
IEEE Transactions on Systems, Man, and Cybernetics: Systems
Article number
-
Volume number
43
Issue number
5
First page of article
1141
ISSN of journal
2168-2232
Year of publication
2013
URL
-
Number of additional authors
4
Additional information
<02> This work which was done while Nagar's visit to India (Jadavpur University) during December 2012 with Prof Amit Konar and his PhD students. The approach applies reinforcement learning techniques to real-world robots. This research measures how well reinforcement-learning technique, such as Q-learning, can be applied to the real robot for navigational problem and this has been achieved by modifying the classical Q-learning (CQL - called the improved Q-learning (IQL)) for increasing its performance in the path-planning problem.
Interdisciplinary
Yes
Cross-referral requested
-
Research group
1 - Centre for Applicable Mathematics and Systems Science (CAMSS)
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
