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Markov Decision Process

Формат:      Страниц 72
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Frederic P.    
Книга по Требованию    
1191 руб
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MDPs are useful for studying a wide range of optimization problems solved via dynamic programming and reinforcement learning. High Quality Content by WIKIPEDIA articles! Markov decision processes (MDPs), named after Andrey Markov, provide a mathematical framework for modeling decision-making in situations where outcomes are partly random and partly under the control of a decision maker. MDPs were known at least as early as the 1950s (cf. Bellman 1957). Much research in the area was spawned due to Ronald A. Howard' s book, Dynamic Programming and Markov Processes, in 1960. Today they are used in a variety of areas, including robotics, automated control, economics and manufacturing.
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Should be press liable or not
Producers of mos goods a d services are co sidered worlds APAR from he press i ki d, o jus i degree. Holdi g producers i ordi ary marke s o ever higher s a dards of liabili y is see as PROCOMSUMER. Proposi g holdi g he press o a y s a dard of liabili y for poli ical i forma io is see as A IDEMOCRA IC. he press is co s i u io ally obliga ed o check o he gover me . Mos of policymakers jus ify legal liabili y for harms, caused by goods a d services a d qui e limi ed liabili y for harms, caused by i forma io . Liabili y for defec ive co sumer produc s is PREDICA ED o a marke failure. As for "u fair" producers, power of possible profi s PREVE co sumers from ra sla i g heir rue prefere ces for safe y a d quali y i o effec ive dema d. So, cus omer prefere ces remai ou side he safe y a d quali y decisio -maki g process of producers. oday, i 'll be a ew mecha ism o force producers o follow cus omers rue prefere ces. Lack of liabili y for defec ive or harmful poli ical i forma io ca be predica ed o ly o a differe ki d of supposed marke failure o a failure of he marke o SUPPLY he LEVEL of safe y ha cus omers wa bu i s failure o supply he amou of poli ical i forma io ha socie y should have.

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