Constrained Markov Decision Processes - Info and Reading Options
By Eitan Altman
"Constrained Markov Decision Processes" was published by CRC Press LLC in 2021 - Milton, it has 1 pages and the language of the book is English.
“Constrained Markov Decision Processes” Metadata:
- Title: ➤ Constrained Markov Decision Processes
- Author: Eitan Altman
- Language: English
- Number of Pages: 1
- Publisher: CRC Press LLC
- Publish Date: 2021
- Publish Location: Milton
“Constrained Markov Decision Processes” Subjects and Themes:
- Subjects: ➤ Dynamic programming - Markov processes - Statistical decision - Markov Chains - Processus de Markov - Programmation dynamique - Prise de décision (Statistique)
Edition Specifications:
- Pagination: 256
Edition Identifiers:
- The Open Library ID: OL36272503M - OL787335W
- ISBN-13: 9781351458245
- All ISBNs: 9781351458245
AI-generated Review of “Constrained Markov Decision Processes”:
"Constrained Markov Decision Processes" Description:
Open Data:
Cover -- Series Page -- Title Page -- Copyright Page -- Preface -- Biography -- Dedication -- Table of Contents -- 1: Introduction -- 1.1 Examples of Constrained Dynamic Control Problems -- 1.2 On Solution Approaches for CMDPs with Expected Costs -- 1.3 Other Types of CMDPs -- 1.4 Cost Criteria and Assumptions -- 1.5 The Convex Analytical Approach and Occupation Measures -- 1.6 Linear Programming and Lagrangian Approach for CMDPs -- 1.7 About the Methodology -- 1.8 The Structure of the Book -- I: Part One: Finite MDPs -- 2: Markov Decision Processes -- 2.1 The Model -- 2.2 Cost Criteria and the Constrained Problem -- 2.3 Some Notation -- 2.4 The Dominance of Markov Policies -- 3: The Discounted Cost -- 3.1 Occupation Measure and the Primal LP -- 3.2 Dynamic Programming and Dual LP: The Unconstrained Case -- 3.3 Constrained Control: Lagrangian Approach -- 3.4 The Dual LP -- 3.5 Number of Randomizations -- 4: The Expected Average Cost -- 4.1 Occupation Measure and the Primal LP -- 4.2 Equivalent Linear Program -- 4.3 The Dual Program -- 4.4 Number of Randomizations -- 5: Flow and Service Control in a Single-Server Queue -- 5.1 The Model -- 5.2 The Lagrangian -- 5.3 The Original Constrained Problem -- 5.4 Structure of Randomization and Implementation Issues -- 5.5 on Coordination Between Controllers -- 5.6 Open Questions -- II: Part Two: Infinite MDPs -- 6: MDPs with Infinite State and Action Spaces -- 6.1 The Model -- 6.2 Cost Criteria -- 6.3 Mixed Policies and Topologic Structure* -- 6.4 The Dominance of Markov Policies -- 6.5 Aggregation of States* -- 6.6 Extra Randomization in the Policies* -- 6.7 Equivalent Quasi-Markov Model and Quasi-Markov Policies* -- 7: The Total Cost: Classification of MDPs -- 7.1 Transient and Absorbing MDPs -- 7.2 MDPs with Uniform Lyapunov Functions -- 7.3 Equivalence of Mdp with Unbounded and Bounded Costs*
Read “Constrained Markov Decision Processes”:
Read “Constrained Markov Decision Processes” by choosing from the options below.
Search for “Constrained Markov Decision Processes” downloads:
Visit our Downloads Search page to see if downloads are available.
Find “Constrained Markov Decision Processes” in Libraries Near You:
Read or borrow “Constrained Markov Decision Processes” from your local library.
- The WorldCat Libraries Catalog: Find a copy of “Constrained Markov Decision Processes” at a library near you.
Buy “Constrained Markov Decision Processes” online:
Shop for “Constrained Markov Decision Processes” on popular online marketplaces.
- Ebay: New and used books.