
Handbook of Markov Decision Processes by Eugene A Feinberg
Eugene A. Feinberg Adam Shwartz This volume deals with the theory of Markov Decision Processes (MDPs) and their applications. Each chapter was written by a leading expert in the re spective area. The papers cover major research areas and methodologies, and discuss open questions and future research directions. The papers can be read independently, with the basic notation and concepts ofSection 1.2. Most chap ters should be accessible by graduate or advanced undergraduate students in fields of operations research, electrical engineering, and computer science. 1.1 AN OVERVIEW OF MARKOV DECISION PROCESES The theory of Markov Decision Processes-also known under several other names including sequential stochastic optimization, discrete-time stochastic control, and stochastic dynamic programming-studiessequential optimization ofdiscrete time stochastic systems. The basic object is a discrete-time stochas tic system whose transition mechanism can be controlled over time. Each control policy defines the stochastic process and values of objective functions associated with this process. The goal is to select a good control policy. In real life, decisions that humans and computers make on all levels usually have two types ofimpacts: (i) they cost orsavetime, money, or other resources, or they bring revenues, as well as (ii) they have an impact on the future, by influencing the dynamics. In many situations, decisions with the largest immediate profit may not be good in view offuture events. MDPs model this paradigm and provide results on the structure and existence of good policies and on methods for their calculation.-
Designing Competitive Electricity Markets
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Principles of Forecasting
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Optimal Search for Moving Targets
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An Introduction to Robust Combinatorial Optimization
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Computational Probability
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Handbook of Stochastic Models and Analysis of Manufacturing System Operations
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Modeling Uncertainty
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Analysis and Modeling of Manufacturing Systems
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Military Operations Research
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Stochastic Benchmarking
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Constraint-Based Scheduling
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Quantitative Models for Supply Chain Management
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Health Care Benchmarking and Performance Evaluation
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Elicitation
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Linear Programming
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Linear and Nonlinear Programming
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Markovian Demand Inventory Models
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Building Supply Chain Excellence in Emerging Economies
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Evaluation and Decision Models
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Mathematical Programming and Financial Objectives for Scheduling Projects
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Judgment in Predictive Analytics
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Fundamentals of Traffic Simulation
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Benchmarking with DEA, SFA, and R
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Outline of Complex Systems Management Theory— Based on Irreversibility of Reductionism Thinking
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Handbook of Semidefinite Programming
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Quantitative Risk Analysis of Air Pollution Health Effects
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Robust Optimization in Electric Energy Systems
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Making Better Decisions
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The Theory and Practice of Revenue Management
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Multicriteria Decision Making
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Optimal Inventory Modeling of Systems
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Queueing Networks
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Handbook on Data Envelopment Analysis
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Process Optimization
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Spare Parts Inventory Control under System Availability Constraints
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Applied Linear Regression for Business Analytics with R
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Economics of Power Systems
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Handbook of Quantitative Supply Chain Analysis
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Multicriterion Decision in Management
| SKU | Unavailable |
| ISBN 13 | 9780792374596 |
| ISBN 10 | 0792374592 |
| Title | Handbook of Markov Decision Processes |
| Author | Eugene A Feinberg |
| Series | International Series In Operations Research And Management Science Ser |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer |
| Year published | 2001-09-30 |
| Number of pages | 565 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |






































