000			01739 a2200217 4500
003			OSt
020			_a9781119815037
040			_cIIT Kanpur
041			_aeng
082			_a006.3 _bP871r
100			_aPowell, Warren B.
245			_aReinforcement learning and stochastic optimization _ba unified framework for sequential decisions _cWarren B. Powell
260			_bJohn Wiley _c2022 _aHoboken
300			_axxxiv, 1099p
520			_a"The first step in sequential decision problems is to understand what decisions are being made. It is surprising how often it is that people faced with complex problems, which spans scientists in a lab to people trying to solve major health problems, are not able to identify the decisions they face. We then want to find a method for making decisions. There are at least 45 words in the English language that are equivalent to "method for making a decision," but the one we have settled on is policy. The term policy is very familiar to fields such as Markov decision processes and reinforcement learning, but with a much narrower interpretation than we will use. Other fields do not use the term at all. Designing effective policies will be the focus of most of this book. Even more subtle is identifying the different sources of uncertainty. It can be hard enough trying to identify potential decisions, but thinking about all the random events that might affect whatever it is that you are managing, whether it is reducing disease, managing inventories, or making investments, can seem like a hopeless challenge"
650			_aReinforcement learning
650			_aDecision making -- Statistical methods
650			_aMathematical optimization
650			_aStochastic analysis
942			_cBK
999			_c567473 _d567473