2A1-S-024 Fast Vector Quantization Algorithm for State-Action Map Compression(RoboCup 1,Mega-Integration in Robotics and Mechatronics to Assist Our Daily Lives)

Autor:	Tamio Arai, Kazutaka Takeshita, Yoshiaki Jitsukawa, Kohei Sakamoto, Ryuichi Ueda
Rok vydání:	2005
Předmět:	Engineering Computer engineering business.industry Compression (functional analysis) Vector quantization Robotics Artificial intelligence Mechatronics State action Mega business
Zdroj:	The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2005:168
ISSN:	2424-3124
DOI:	10.1299/jsmermd.2005.168_1
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ef2345916813674297d0eac36e0d2eba https://doi.org/10.1299/jsmermd.2005.168_1 Zobrazit plný text záznamu