Add to ORKGDynamic Programming is a recursive method for solving sequential decision problems (hereafter abbreviated as SDP). Also known as backward induction, it is used to find optimal decision rules in “games against nature ” and subgame perfect equilibria of dynamic multi-agent games, and competitive equilibria in dynamic economic models. Dynamic programming has enabled economists to formulate and solv
The fundamental goal, in preparing this thesis, is two-fold. First, the author shows the systematic ...
Dynamic programming is an area that is often not well understood by those learning algorithms for th...
AbstractAs finite state models to represent a discrete optimization problem given in the form of an ...
Dynamic programming is a mathematical technique for solving certain types of sequential decision pro...
Dynamic programming is a mathematical technique which provides a systematic procedure for determinin...
The mathematical theory of dynamic programming as a means of solving dynamic optimization problems d...
2017-07-19Dynamic programming has become a common method in practice in solving optimization problem...
This article describes a formal approach to decision making optimization in commodity futures marke...
1. The problem of dynamic programming that appears often in economics takes the following form: Find...
This text gives a comprehensive coverage of how optimization problems involving decisions and uncert...
Farmers are faced with many decision problems in crop and livestock production which are multistage ...
AbstractA sequential decision model is developed in the context of which three principles of optimal...
Dynamic Optimization and Differential Games has been written to address the increasing number of Ope...
“[Dynamic] also has a very interesting property as an adjective, and that is its impossible to use t...
This book covers the most recent developments in adaptive dynamic programming (ADP). The text begins...
The fundamental goal, in preparing this thesis, is two-fold. First, the author shows the systematic ...
Dynamic programming is an area that is often not well understood by those learning algorithms for th...
AbstractAs finite state models to represent a discrete optimization problem given in the form of an ...
Dynamic programming is a mathematical technique for solving certain types of sequential decision pro...
Dynamic programming is a mathematical technique which provides a systematic procedure for determinin...
The mathematical theory of dynamic programming as a means of solving dynamic optimization problems d...
2017-07-19Dynamic programming has become a common method in practice in solving optimization problem...
This article describes a formal approach to decision making optimization in commodity futures marke...
1. The problem of dynamic programming that appears often in economics takes the following form: Find...
This text gives a comprehensive coverage of how optimization problems involving decisions and uncert...
Farmers are faced with many decision problems in crop and livestock production which are multistage ...
AbstractA sequential decision model is developed in the context of which three principles of optimal...
Dynamic Optimization and Differential Games has been written to address the increasing number of Ope...
“[Dynamic] also has a very interesting property as an adjective, and that is its impossible to use t...
This book covers the most recent developments in adaptive dynamic programming (ADP). The text begins...
The fundamental goal, in preparing this thesis, is two-fold. First, the author shows the systematic ...
Dynamic programming is an area that is often not well understood by those learning algorithms for th...
AbstractAs finite state models to represent a discrete optimization problem given in the form of an ...