Direct code access in self-organizing neural networks for reinforcement learning

TD-FALCON is a self-organizing neural network that incorporates Temporal Difference (TD) methods for reinforcement learning. Despite the advantages of fast and stable learning, TD-FALCON still relies on an iterative process to evaluate each available action in a decision cycle. To remove this defici...

Full description

Saved in:

Bibliographic Details
Main Author:	TAN, Ah-hwee
Format:	text
Language:	English
Published:	Institutional Knowledge at Singapore Management University 2007
Subjects:	Databases and Information Systems OS and Networks
Online Access:	https://ink.library.smu.edu.sg/sis_research/6764 https://ink.library.smu.edu.sg/context/sis_research/article/7767/viewcontent/DA_FALCON_IJCAI07.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Singapore Management University
Language:	English

id	sg-smu-ink.sis_research-7767
record_format	dspace
spelling	sg-smu-ink.sis_research-77672022-01-27T10:37:54Z Direct code access in self-organizing neural networks for reinforcement learning TAN, Ah-hwee TD-FALCON is a self-organizing neural network that incorporates Temporal Difference (TD) methods for reinforcement learning. Despite the advantages of fast and stable learning, TD-FALCON still relies on an iterative process to evaluate each available action in a decision cycle. To remove this deficiency, this paper presents a direct code access procedure whereby TD-FALCON conducts instantaneous searches for cognitive nodes that match with the current states and at the same time provide maximal reward values. Our comparative experiments show that TD-FALCON with direct code access produces comparable performance with the original TD-FALCON while improving significantly in computation efficiency and network complexity. 2007-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/6764 info:doi/10.5555/1625275.1625449 https://ink.library.smu.edu.sg/context/sis_research/article/7767/viewcontent/DA_FALCON_IJCAI07.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems OS and Networks
institution	Singapore Management University
building	SMU Libraries
continent	Asia
country	Singapore Singapore
content_provider	SMU Libraries
collection	InK@SMU
language	English
topic	Databases and Information Systems OS and Networks
spellingShingle	Databases and Information Systems OS and Networks TAN, Ah-hwee Direct code access in self-organizing neural networks for reinforcement learning
description	TD-FALCON is a self-organizing neural network that incorporates Temporal Difference (TD) methods for reinforcement learning. Despite the advantages of fast and stable learning, TD-FALCON still relies on an iterative process to evaluate each available action in a decision cycle. To remove this deficiency, this paper presents a direct code access procedure whereby TD-FALCON conducts instantaneous searches for cognitive nodes that match with the current states and at the same time provide maximal reward values. Our comparative experiments show that TD-FALCON with direct code access produces comparable performance with the original TD-FALCON while improving significantly in computation efficiency and network complexity.
format	text
author	TAN, Ah-hwee
author_facet	TAN, Ah-hwee
author_sort	TAN, Ah-hwee
title	Direct code access in self-organizing neural networks for reinforcement learning
title_short	Direct code access in self-organizing neural networks for reinforcement learning
title_full	Direct code access in self-organizing neural networks for reinforcement learning
title_fullStr	Direct code access in self-organizing neural networks for reinforcement learning
title_full_unstemmed	Direct code access in self-organizing neural networks for reinforcement learning
title_sort	direct code access in self-organizing neural networks for reinforcement learning
publisher	Institutional Knowledge at Singapore Management University
publishDate	2007
url	https://ink.library.smu.edu.sg/sis_research/6764 https://ink.library.smu.edu.sg/context/sis_research/article/7767/viewcontent/DA_FALCON_IJCAI07.pdf
_version_	1770576060846440448

Direct code access in self-organizing neural networks for reinforcement learning

Similar Items