Presentation	2021-11-19 Bounded synthesis based reinforcement learning of optimal path for surveillance robots under LTL specifications Ryohei Oura, Toshimitsu Ushio,
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Abstract(in English)
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Keyword(in English)
Paper #	CAS2021-49,MSS2021-29
Date of Issue	2021-11-11 (CAS, MSS)

Conference Information
Committee	MSS / CAS / IPSJ-AL
Conference Date	2021/11/18(2days)
Place (in Japanese)	(See Japanese page)
Place (in English)	Online
Topics (in Japanese)	(See Japanese page)
Topics (in English)
Chair	Atsuo Ozaki(Osaka Inst. of Tech.) / Hiroki Sato(Sony LSI Design)
Vice Chair	Shingo Yamaguchi(Yamaguchi Univ.) / Yoshinobu Maeda(Niigata Univ.)
Secretary	Shingo Yamaguchi(Hokkaido Univ.) / Yoshinobu Maeda(NEC) / (Sony LSI Design)
Assistant	Masato Shirai(Shimane Univ.) / Motoi Yamaguchi(TECHNOPRO) / Yohei Nakamura(Hitachi) / Takahide Sato(Univ. of Yamanashi) / Yasutoshi Aibara(Murata Manufacturing)

Paper Information
Registration To	Technical Committee on Mathematical Systems Science and its Applications / Technical Committee on Circuits and Systems / Special Interest Group on Algorithms
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Bounded synthesis based reinforcement learning of optimal path for surveillance robots under LTL specifications
Sub Title (in English)
Keyword(1)
1st Author's Name	Ryohei Oura
1st Author's Affiliation	Osaka University(Osaka Univ)
2nd Author's Name	Toshimitsu Ushio
2nd Author's Affiliation	Osaka University(Osaka Univ)
Date	2021-11-19
Paper #	CAS2021-49,MSS2021-29
Volume (vol)	vol.121
Number (no)	CAS-249,MSS-250
Page	pp.pp.70-75(CAS), pp.70-75(MSS),
#Pages	6
Date of Issue	2021-11-11 (CAS, MSS)