nahavandi-reinforcementlearning-2002.pdf (452.15 kB)
A reinforcement learning approach for robot control in an unknown environment
conference contribution
posted on 2002-01-01, 00:00 authored by N F Xiao, Saeid NahavandiIn this paper, a control approach based on reinforcement learning is present for a robot to complete a dynamic task in an unknown environment. First, a temporal difference-based reinforcement learning algorithm and its evaluation function are used to make the robot learn with its trials and errors as well as experiences. Second, the simulation are carried out to adjust the parameters of the learning algorithm and determine an optimal policy by using the models of a robot. Last, the effectiveness of the present approach is demonstrated by balancing an inverse pendulum in the unknown environment.
History
Title of proceedings
IEEE ICIT' 02 : 2002 IEEE International Conference on Industrial Technology : productivity reincarnation through robotics & automation : 11-14 December 2002, Shangri-La Hotel, Bangkok, ThailandEvent
IEEE International Conference on Industrial Technology (2002 : Bangkok, Thailand)Pagination
1096 - 1099Publisher
IEEE XploreLocation
Bangkok, ThailandPlace of publication
Piscataway, N.J.Start date
2002-12-11End date
2002-12-14ISBN-13
9780780376571ISBN-10
0780376579Language
engNotes
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.Publication classification
E1 Full written paper - refereedCopyright notice
2002, IEEEUsage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC