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Book Categories |
1 | Introduction | 1 |
Pt. 1 | Finite State and Action Models | |
2 | Finite State and Action MDPs | 21 |
3 | Bias Optimality | 89 |
4 | Singular Perturbations of Markov Chains and Decision Processes | 113 |
Pt. II | Infinite State Models | |
5 | Average Reward Optimization Theory for Denumerable State Spaces | 153 |
6 | Total Reward Criteria | 173 |
7 | Mixed Criteria | 209 |
8 | Blackwell Optimality | 231 |
9 | The Poisson Equation for Countable Markov Chains: Probabilistic Methods and Interpretations | 269 |
10 | Stability, Performance Evaluation, and Optimization | 305 |
11 | Convex Analytic Methods in Markov Decision Processes | 347 |
12 | The Linear Programming Approach | 377 |
13 | Invariant Gambling Problems and Markov Decision Processes | 409 |
Pt. III | Applications | |
14 | Neuro-Dynamic Programming: Overview and Recent Trends | 431 |
15 | Markov Decision Processes in Finance and Dynamic Options | 461 |
16 | Applications of Markov Decision Processes in Communication Networks | 489 |
17 | Water Reservoir Applications of Markov Decision Processes | 537 |
Index | 559 |
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Add Handbook of Markov Decision Processes: Methods and Applications, The theory of Markov Decision Processes - also known under several other names including sequential stochastic optimization, discrete-time stochastic control, and stochastic dynamic programming - studies sequential optimization of discrete time stochastic, Handbook of Markov Decision Processes: Methods and Applications to the inventory that you are selling on WonderClubX
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Add Handbook of Markov Decision Processes: Methods and Applications, The theory of Markov Decision Processes - also known under several other names including sequential stochastic optimization, discrete-time stochastic control, and stochastic dynamic programming - studies sequential optimization of discrete time stochastic, Handbook of Markov Decision Processes: Methods and Applications to your collection on WonderClub |