Markov Decision Processes in Practice
This book presents classical Markov Decision Processes (MDP) for real-life applications and optimization. MDP allows users to develop and formally support approximate and simple decision rules, and this book showcases state-of-the-art applications in which MDP was key to the solution approach. The b...
| Corporate Author: | |
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| Other Authors: | , |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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| Edition: | 1st ed. 2017. |
| Series: | International Series in Operations Research & Management Science,
248 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-319-47766-4 |
Table of Contents:
- One-Step Improvement Ideas And Computational Aspects
- Value Function Approximation In Complex Queueing Systems
- Approximate Dynamic Programming By Practical Examples
- Server Optimization Of Infinite Queueing Systems
- Structures Of Optimal Policies In Mdps With Unbounded Jumps: The State Of Our Art
- Markov Decision Processes For Screening And Treatment Of Chronic Diseases
- Stratified Breast Cancer Follow-Up Using A Partially Observable MDP
- Advance Patient Appointment Scheduling
- Optimal Ambulance Dispatching
- Blood Platelet Inventory Management
- Stochastic Dynamic Programming For Noise Load Management
- Allocation In A Vertical Rotary Car Park
- Dynamic Control Of Traffic Lights
- Smart Charging Of Electric Vehicles
- Analysis Of A Stochastic Lot Scheduling Problem With Strict Due-Dates
- Optimal Fishery Policies
- Near-Optimal Switching Strategies For A Tandem Queue
- Wireless Channel Selection With Restless Bandits
- Flexible Staffing For Call Centers With Non-Stationary Arrival Rates
- MDP For Query-Based Wireless Sensor Networks
- Optimal Portfolios And Pricing Of Financial Derivatives Under Proportional Transaction Costs. .