scispace - formally typeset
Open AccessBook

Discrete Gambling and Stochastic Games

TLDR
In this article, the authors present an algorithm for the value of a non-leavable game and the optimality equation for a two-player, zero-sum game.
Abstract
1 Introduction.- 1.1 Preview.- 1.2 Prerequisites.- 1.3 Numbering.- 2 Gambling Houses and the Conservation of Fairness.- 2.1 Introduction.- 2.2 Gambles, Gambling Houses, and Strategies.- 2.3 Stopping Times and Stop Rules.- 2.4 An Optional Sampling Theorem.- 2.5 Martingale Convergence Theorems.- 2.6 The Ordinals and Transfinite Induction.- 2.7 Uncountable State Spaces and Continuous-Time.- 2.8 Problems for Chapter 2.- 3 Leavable Gambling Problems.- 3.1 The Fundamental Theorem.- 3.2 The One-Day Operator and the Optimality Equation.- 3.3 The Utility of a Strategy.- 3.4 Some Examples.- 3.5 Optimal Strategies.- 3.6 Backward Induction: An Algorithm for U.- 3.7 Problems for Chapter 3.- 4 Nonleavable Gambling Problems.- 4.1 Introduction.- 4.2 Understanding u(?).- 4.3 A Characterization of V.- 4.4 The Optimality Equation for V.- 4.5 Proving Optimality.- 4.6 Some Examples.- 4.7 Optimal Strategies.- 4.8 Another Characterization of V.- 4.9 An Algorithm for V.- 4.10 Problems for Chapter 4.- 5 Stationary Families of Strategies.- 5.1 Introduction.- 5.2 Comparing Strategies.- 5.3 Finite Gambling Problems.- 5.4 Nonnegative Stop-or-Go Problems.- 5.5 Leavable Houses.- 5.6 An Example of Blackwell and Ramakrishnan.- 5.7 Markov Families of Strategies.- 5.8 Stationary Plans in Dynamic Programming.- 5.9 Problems for Chapter 5.- 6 Approximation Theorems.- 6.1 Introduction.- 6.2 Analytic Sets.- 6.3 Optimality Equations.- 6.4 Special Cases of Theorem 1.2.- 6.5 The Going-Up Property of $$ \overline M $$.- 6.6 Dynamic Capacities and the Proof of Theorem 1.2.- 6.7 Approximating Functions.- 6.8 Composition Closure and Saturated House.- 6.9 Problems for Chapter 6.- 7 Stochastic Games.- 7.1 Introduction.- 7.2 Two-Person, Zero-Sum Games.- 7.3 The Dynamics of Stochastic Games.- 7.4 Stochastic Games with lim sup Payoff.- 7.5 Other Payoff Functions.- 7.6 The One-Day Operator.- 7.7 Leavable Games.- 7.8 Families of Optimal Strategies for Leavable Games.- 7.9 Examples of Leavable Games.- 7.10 A Modification of Leavable Games and the Operator T.- 7.11 An Algorithm for the Value of a Nonleavable Game.- 7.12 The Optimality Equation for V.- 7.13 Good Strategies in Nonleavable Games.- 7.14 Win, Lose, or Draw.- 7.15 Recursive Matrix Games.- 7.16 Games of Survival.- 7.17 The Big Match.- 7.18 Problems for Chapter 7.- References.- Symbol Index.

read more

Citations
More filters
Book

Martingale Methods in Financial Modelling

TL;DR: In this paper, the authors introduce the concept of discrete-time security markets for financial derivatives, and present a model of instantaneous forward rates and alternative market models for cross-currency derivatives.
Book

A Course on Borel Sets

TL;DR: Cardinal and Ordinal Numbers, Topological Preliminaries, Standard Borel Spaces, Selection and Uniformization Theorems, and Analytic and Coanalytic Sets are studied.
Journal ArticleDOI

Utility Maximization with Discretionary Stopping

TL;DR: Utility maximization problems of mixed optimal stopping/control type are considered, which can be solved by reduction to a family of related pure optimal stopping problems, including one which demonstrates that optimal strategies need not always exist.
Journal ArticleDOI

A Multistage Game in Smart Grid Security: A Reinforcement Learning Solution

TL;DR: A new solution for a multistage game between the attacker and the defender based on reinforcement learning to identify the optimal attack sequences given certain objectives (e.g., transmission line outages or generation loss) is proposed.
Journal ArticleDOI

On the definition and properties of p-harmonious functions

TL;DR: In this article, the authors consider functions that satisfy the identity ue(x) = α 2 { sup Be(x ue + inf Be (x) ue } + β ∫.
Related Papers (5)