A pulse neural network learning algorithm for POMDP environment

Koichiro Takita; Masafumi Hagiwara

A pulse neural network learning algorithm for POMDP environment

Koichiro Takita, Masafumi Hagiwara

Department of Information and Computer Science

Research output: Contribution to conference › Paper › peer-review

4 Citations (Scopus)

Abstract

In this paper, we proposed a new pulse neural network model and its reinforcement learning algorithm. The main purpose of this model is to utilize pulse neuron's ability to handle sequential inputs in partially observable Markov decision process (POMDP). Its performance is confirmed by computer simulation.

Original language	English
Pages	1643-1648
Number of pages	6
Publication status	Published - 2002 Jan 1
Event	2002 International Joint Conference on Neural Networks (IJCNN '02) - Honolulu, HI, United States Duration: 2002 May 12 → 2002 May 17

Other

Other	2002 International Joint Conference on Neural Networks (IJCNN '02)
Country/Territory	United States
City	Honolulu, HI
Period	02/5/12 → 02/5/17

Keywords

Pulse neural network
Reinforcement learning

ASJC Scopus subject areas

Software
Artificial Intelligence

Cite this

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title = "A pulse neural network learning algorithm for POMDP environment",

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author = "Koichiro Takita and Masafumi Hagiwara",

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AU - Hagiwara, Masafumi

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KW - Reinforcement learning

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M3 - Paper

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T2 - 2002 International Joint Conference on Neural Networks (IJCNN '02)

Y2 - 12 May 2002 through 17 May 2002

ER -

A pulse neural network learning algorithm for POMDP environment

Abstract

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Keywords

ASJC Scopus subject areas

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