EXTRACTING BOTTLENECKS USING OBJECT RECOGNITION IN REINFORCEMENT LEARNING

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

GHAZANFARI B.; MOZAYANI N.; JAHED MOTLAGH M.R.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR Year:2012 | Volume:10 | Issue:1 Page(s): 55-62

Download Full-Text

Persian Verion

View:

1,277

Download:

Cites:

Information Journal Paper

Title

EXTRACTING BOTTLENECKS USING OBJECT RECOGNITION IN REINFORCEMENT LEARNING

Author(s)

GHAZANFARI B. | MOZAYANI N. | JAHED MOTLAGH M.R. | Issue Writer Certificate

Keywords

REINFORCEMENT LEARNINGQ2

OBJECT CLUSTERINGQ3

HIERARCHICAL REINFORCEMENT LEARNINGQ2

TEMPORALLY EXTENDED ACTIONSQ3

Abstract

Extracting bottlenecks improves considerably the speed of learning and the ability knowledge transferring in REINFORCEMENT LEARNING. But, extracting bottlenecks is a challenge in REINFORCEMENT LEARNING and it typically requires prior knowledge and designer’s help. This paper will propose a new method that extracts bottlenecks for REINFORCEMENT LEARNING agent automatically. We have inspired of biological systems, behavioral analysts and routing animals and the agent works on the basis of its interacting to environment. The agent finds landmarks based in clustering and hierarchical object recognition. If these landmarks in actions space are close to each other, bottlenecks are extracted using the states between them. The Experimental results show a considerable improvement in the process of learning in comparison to some key methods in the literature.

Cites

No record.

References

No record.

Cite

APA: Copy

GHAZANFARI, B., MOZAYANI, N., & JAHED MOTLAGH, M.R.. (2012). EXTRACTING BOTTLENECKS USING OBJECT RECOGNITION IN REINFORCEMENT LEARNING. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, 10(1), 55-62. SID. https://sid.ir/paper/228500/en

Vancouver: Copy

GHAZANFARI B., MOZAYANI N., JAHED MOTLAGH M.R.. EXTRACTING BOTTLENECKS USING OBJECT RECOGNITION IN REINFORCEMENT LEARNING. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR[Internet]. 2012;10(1):55-62. Available from: https://sid.ir/paper/228500/en

IEEE: Copy

B. GHAZANFARI, N. MOZAYANI, and M.R. JAHED MOTLAGH, “EXTRACTING BOTTLENECKS USING OBJECT RECOGNITION IN REINFORCEMENT LEARNING,” NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, vol. 10, no. 1, pp. 55–62, 2012, [Online]. Available: https://sid.ir/paper/228500/en

Related Journal Papers