Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning (Operations Research/Computer Science Interfaces Series) by Abhijit Gosavi
Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning (Operations Research/Computer Science Interfaces Series) by Abhijit Gosavi PDF, ePub eBook D0wnl0ad
This book introduces to the reader the evolving area of simulation-based optimization, also known as simulation optimization. The book should serve as an accessible introduction to this topic and requires a background only in elementary mathematics. It brings the reader up to date on cutting-edge advances in simulation-optimization methodologies, including dynamic controls, also called Reinforcement Learning (RL) or Approximate Dynamic Programming (ADP), and static optimization techniques, e.g., Simultaneous Perturbation, Nested Partitions, Backtracking Adaptive Search, Response Surfaces, and Meta-Heuristics. Special features of this book include:Stochastic Control Optimization:
- An Accessible Introduction to Reinforcement Learning Techniques for Solving Markov Decision Processes (MDPs), with Step-by-Step Descriptions of Numerous Algorithms, e.g., Q-Learning, SARSA, R-SMART, Actor-Critics, Q-P-Learning, and Classical Approximate Policy Iteration
- A Detailed Discussion on Dynamic Programing for Solving MDPs and Semi-MDPs (SMDPs), Including Steps for Value Iteration and Policy Iteration
- An Introduction to Function Approximation with Reinforcement Learning
- An In-Depth Treatment of Reinforcement Learning Methods for SMDPs, Average Reward Problems, Finite Horizon Problems, and Two Time Scales
- Computer Programs (available online)
- A Gentle Introduction to Convergence Analysis of Simulation Optimization Methods via Banach Fixed Point Theory and Ordinary Differential Equations (ODEs)
- A Step-by-Step Description of Stochastic Adaptive Search Algorithms, e.g., Simultaneous Perturbation, Nested Partitions, Backtracking Adaptive Search, Stochastic Ruler, and Meta-Heuristics, e.g., Simulated Annealing, Tabu Search, and Genetic Algorithms
- A Clear and Simple Introduction to the Methodology of Neural Networks
The book was written for students and researchers in the fields of engineering (industrial, electrical, and computer), computer science, operations research, management science, and applied mathematics. An attractive feature of this book is its accessibility to readers new to this topic.
From reader reviews:
Helen Woodyard:
Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning (Operations Research/Computer Science Interfaces Series) can be one of your beginning books that are good idea. Many of us recommend that straight away because this book has good vocabulary that could increase your knowledge in language, easy to understand, bit entertaining however delivering the information. The article writer giving his/her effort that will put every word into pleasure arrangement in writing Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning (Operations Research/Computer Science Interfaces Series) although doesn't forget the main stage, giving the reader the hottest along with based confirm resource facts that maybe you can be one among it. This great information could drawn you into new stage of crucial thinking.
Denice Cooke:
The book untitled Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning (Operations Research/Computer Science Interfaces Series) contain a lot of information on that. The writer explains your girlfriend idea with easy way. The language is very clear and understandable all the people, so do certainly not worry, you can easy to read this. The book was published by famous author. The author brings you in the new age of literary works. You can read this book because you can please read on your smart phone, or program, so you can read the book in anywhere and anytime. In a situation you wish to purchase the e-book, you can open up their official web-site and also order it. Have a nice go through.
Robert Olsen:
A lot of book has printed but it is unique. You can get it by net on social media. You can choose the very best book for you, science, comic, novel, or whatever through searching from it. It is known as of book Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning (Operations Research/Computer Science Interfaces Series). You'll be able to your knowledge by it. Without making the printed book, it could add your knowledge and make you happier to read. It is most important that, you must aware about e-book. It can bring you from one place to other place.
Read Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning (Operations Research/Computer Science Interfaces Series) by Abhijit Gosavi for online ebook
Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning (Operations Research/Computer Science Interfaces Series) by Abhijit Gosavi Free PDF d0wnl0ad, audio books, books to read, good books to read, cheap books, good books, online books, books online, book reviews epub, read books online, books to read online, online library, greatbooks to read, PDF best books to read, top books to read Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning (Operations Research/Computer Science Interfaces Series) by Abhijit Gosavi books to read online.
No comments:
Post a Comment