What is included with this book?
Introduction and Summary | p. 1 |
Introduction | p. 1 |
Preliminary Examples | p. 1 |
Summary of the Following Chapters | p. 6 |
Continuous-Time Markov Decision Processes | p. 9 |
Introduction | p. 9 |
The Control Model | p. 10 |
Continuous-Time Markov Decision Processes | p. 13 |
Basic Optimality Criteria | p. 16 |
Average Optimality for Finite Models | p. 19 |
Introduction | p. 19 |
n-bias Optimality Criteria | p. 20 |
Difference Formulas of n-biases | p. 23 |
Characterization of n-bias Policies | p. 29 |
Computation of n-bias Optimal Policies | p. 36 |
The Policy Iteration Algorithm for Average Optimality | p. 36 |
The 0-bias Policy Iteration Algorithm | p. 39 |
n-bias Policy Iteration Algorithms | p. 43 |
The Linear Programming Approach | p. 46 |
Linear Programming for Ergodic Models | p. 46 |
Linear Programming for Multichain Models | p. 49 |
Notes | p. 52 |
Discount Optimality for Nonnegative Costs | p. 55 |
Introduction | p. 55 |
The Nonnegative Model | p. 55 |
Preliminaries | p. 56 |
The Discounted Cost Optimality Equation | p. 60 |
Existence of Optimal Policies | p. 63 |
Approximation Results | p. 63 |
The Policy Iteration Approach | p. 66 |
Examples | p. 68 |
Notes | p. 69 |
Average Optimality for Nonnegative Costs | p. 71 |
Introduction | p. 71 |
The Average-Cost Criterion | p. 72 |
The Minimum Nonnegative Solution Approach | p. 73 |
The Average-Cost Optimality Inequality | p. 76 |
The Average-Cost Optimality Equation | p. 80 |
Examples | p. 81 |
Notes | p. 84 |
Discount Optimality for Unbounded Rewards | p. 87 |
Introduction | p. 87 |
The Discounted-Reward Optimality Equation | p. 89 |
Discount Optimal Stationary Policies | p. 95 |
A Value Iteration Algorithm | p. 98 |
Examples | p. 98 |
Notes | p. 102 |
Average Optimality for Unbounded Rewards | p. 105 |
Introduction | p. 105 |
Exponential Ergodicity Conditions | p. 106 |
The Existence of AR Optimal Policies | p. 109 |
The Policy Iteration Algorithm | p. 113 |
Examples | p. 119 |
Notes | p. 124 |
Average Optimality for Pathwise Rewards | p. 127 |
Introduction | p. 127 |
The Optimal Control Problem | p. 129 |
Optimality Conditions and Preliminaries | p. 129 |
The Existence of PAR Optimal Policies | p. 131 |
Policy and Value Iteration Algorithms | p. 138 |
An Example | p. 139 |
Notes | p. 142 |
Advanced Optimality Criteria | p. 143 |
Bias and Weakly Overtaking Optimality | p. 143 |
Sensitive Discount Optimality | p. 147 |
Blackwell Optimality | p. 159 |
Notes | p. 160 |
Variance Minimization | p. 163 |
Introduction | p. 163 |
Preliminaries | p. 164 |
Computation of the Average Variance | p. 164 |
Variance Minimization | p. 170 |
Examples | p. 171 |
Notes | p. 173 |
Constrained Optimality for Discount Criteria | p. 175 |
The Model with a Constraint | p. 175 |
Preliminaries | p. 177 |
Proof of Theorem 11.4 | p. 182 |
An Example | p. 184 |
Notes | p. 186 |
Constrained Optimality for Average Criteria | p. 187 |
Average Optimality with a Constraint | p. 187 |
Preliminaries | p. 188 |
Proof of Theorem 12.4 | p. 192 |
An Example | p. 192 |
Notes | p. 194 |
p. 195 | |
Limit Theorems | p. 195 |
Results from Measure Theory | p. 197 |
p. 203 | |
Continuous-Time Markov Chains | p. 203 |
Stationary Distributions and Ergodicity | p. 206 |
p. 209 | |
The Construction of Transition Functions | p. 209 |
Ergodicity Based on the Q-Matrix | p. 214 |
Dynkin's Formula | p. 218 |
References | p. 221 |
Index | p. 229 |
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The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.