Approximate dynamic programming : solving the curses of dimensionality
Powell, Warren B.
Approximate dynamic programming : solving the curses of dimensionality - 2nd ed. - New Jersey Wiley 2011 - xviii. 627p.,
https://www.wiley.com/en-us/Approximate+Dynamic+Programming%3A+Solving+the+Curses+of+Dimensionality%2C+2nd+Edition-p-9780470604458
"This new edition showcases a focus on modeling and computation for complex classes of approximate dynamic programming problems
Understanding approximate dynamic programming (ADP) is vital in order to develop practical and high-quality solutions to complex industrial problems, particularly when those problems involve making decisions in the presence of uncertainty. Approximate Dynamic Programming, Second Edition uniquely integrates four distinct disciplines—Markov decision processes, mathematical programming, simulation, and statistics—to demonstrate how to successfully approach, model, and solve a wide range of real-life problems using ADP.
The book continues to bridge the gap between computer science, simulation, and operations research and now adopts the notation and vocabulary of reinforcement learning as well as stochastic search and simulation optimization. The author outlines the essential algorithms that serve as a starting point in the design of practical solutions for real problems. The three curses of dimensionality that impact complex problems are introduced and detailed coverage of implementation challenges is provided"
9780470604458 (hb.)
Dynamic programming
Programming (Mathematics)
519.703 / POW
Approximate dynamic programming : solving the curses of dimensionality - 2nd ed. - New Jersey Wiley 2011 - xviii. 627p.,
https://www.wiley.com/en-us/Approximate+Dynamic+Programming%3A+Solving+the+Curses+of+Dimensionality%2C+2nd+Edition-p-9780470604458
"This new edition showcases a focus on modeling and computation for complex classes of approximate dynamic programming problems
Understanding approximate dynamic programming (ADP) is vital in order to develop practical and high-quality solutions to complex industrial problems, particularly when those problems involve making decisions in the presence of uncertainty. Approximate Dynamic Programming, Second Edition uniquely integrates four distinct disciplines—Markov decision processes, mathematical programming, simulation, and statistics—to demonstrate how to successfully approach, model, and solve a wide range of real-life problems using ADP.
The book continues to bridge the gap between computer science, simulation, and operations research and now adopts the notation and vocabulary of reinforcement learning as well as stochastic search and simulation optimization. The author outlines the essential algorithms that serve as a starting point in the design of practical solutions for real problems. The three curses of dimensionality that impact complex problems are introduced and detailed coverage of implementation challenges is provided"
9780470604458 (hb.)
Dynamic programming
Programming (Mathematics)
519.703 / POW