نتایج جستجو برای: specifying allowable transitions from each state for each player

تعداد نتایج: 12554131  

2014
Eitan Altman Vladimir Gaitsgory

We consider in this paper a continuous time stochastic hybrid sys tem with a nite time horizon controlled by two players with opposite objectives zero sum game Player one wishes to maximize some linear function of the expected state trajectory and player two wishes to mini mize it The state evolves according to a linear dynamics The parameters of the state evolution equation may change at discr...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه زنجان - دانشکده علوم انسانی و اجتماعی 1392

most specialists in the field of foreign language teachingconsiderreading skill as an interactive process between the reader’s prior knowledge and the text.accordingly, the activation of prior knowledge for an effective comprehension is very important. it is generally agreed that the pre-reading phase is the stage where this type of interaction and activation may be enhanced throughcertain stra...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه علامه طباطبایی - دانشکده ادبیات و زبانهای خارجی 1391

although there are studies on pragmatic assessment, to date, literature has been almost silent about native and non-native english raters’ criteria for the assessment of efl learners’ pragmatic performance. focusing on this topic, this study pursued four purposes. the first one was to find criteria for rating the speech acts of apology and refusal in l2 by native and non-native english teachers...

Journal: :TRENDS IN THE SCIENCES 2004

Journal: :Extended Outlooks: The Iowa Review Collection of Contemporary Writing by Women 1981

Journal: :journal of ai and data mining 2015
f. tatari m. b. naghibi-sistani

in this paper, the optimal adaptive leader-follower consensus of linear continuous time multi-agent systems is considered. the error dynamics of each player depends on its neighbors’ information. detailed analysis of online optimal leader-follower consensus under known and unknown dynamics is presented. the introduced reinforcement learning-based algorithms learn online the approximate solution...

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