OPPONENT MODELING IN POKER: LEARNING AND ACTING IN A HOSTILE AND UNCERTAIN ".NVIRONMEN':POMPES PAR TRANSITIONS MULTIPLES

منو

" OPPONENT MODELING IN POKER: LEARNING AND ACTING IN A HOSTILE AND UNCERTAIN ".NVIRONMEN':POMPES PAR TRANSITIONS MULTIPLES "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	153268
Doc. No	:	ET25060
Main Entry	:	John Aaron Davidson
Title Proper	:	OPPONENT MODELING IN POKER: LEARNING AND ACTING IN A HOSTILE AND UNCERTAIN ".NVIRONMEN':POMPES PAR TRANSITIONS MULTIPLES
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	Artificial intelligence research has had great success in many classic games suchas chess, checkers, and othello. In these perfect-information domains, alpha-betasearch is sufficient to achieve a high level of play. However Artificial intelligenceresearch has long been criticized for focusing on deterministic domains.
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL49275.pdf
Title and statement of responsibility and	:	OPPONENT MODELING IN POKER: LEARNING AND ACTING IN A HOSTILE AND UNCERTAIN ".NVIRONMEN':POMPES PAR TRANSITIONS MULTIPLES [Thesis]