Reinforcement Learning and Dynamic Programming Using Function Approximators - Robert Babuska,Lucian Busoniu,Bart De Schutter
-25% koodiga BOOKS
Saadetis 17-23 tööpäeva jooksul
30-päevane tagastamisõigus
While Dynamic Programming (DP) has helped solve control problems involving dynamic systems, its value was limited by algorithms that lacked practical scale-up capacity. In recent years, developments in Reinforcement Learning (RL), DP's model-free counterpart, has changed this. Focusing on continuous-variable problems, this unparalleled work provides an introduction to classical RL and DP, followed by a pres ... Täielik kirjeldus
Võib-olla meeldib sulle ka
TOP
If Anyone Builds It, Everyone Dies: The Case Against Superintelligent AI
Eliezer Yudkowsky, Nate Soares
-25% koodiga BOOKS
Meie tarnija laos
TOP
We Are Not Machines: The Fight for the Future of Work
-25% koodiga BOOKS
Meie tarnija laos
TOP
Open Circuits: The Inner Beauty of Electronic Components
Eric Schlaepfer, Windell Oskay
-25% koodiga BOOKS
Meie tarnija laos
TOP
Get started with MicroPython on Raspberry Pi Pico: The Official Raspberry Pi Pico Guide
-25% koodiga BOOKS
Meie tarnija laos
TOP
Fundamentals of Aerodynamics ISE
Christopher Cadou, John D. Anderson
-25% koodiga BOOKS
Meie tarnija laos
TOP
Nucleo Boards Programming with the STM32CubeIDE: Hands-on in more than 50 projects
-25% koodiga BOOKS
Meie tarnija laos
TOP
Black Holes: The Key to Understanding the Universe
-25% koodiga BOOKS
Meie tarnija laos
TOP
Professional SMD Assembly: Practical Low-Cost Methods for Reliable PCB Production
-25% koodiga BOOKS
Meie tarnija laos
TOP
KiCad Like A Pro - Fundamentals and Projects: Getting started with the world's best open-source PCB tool
-25% koodiga BOOKS
Meie tarnija laos
TOP
Make: Electronics: Learning by Discovery: A hands-on primer for the new electronics enthusiast
-25% koodiga BOOKS
Meie tarnija laos
TOP
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
Steven L. Brunton, J. Nathan Kutz
-25% koodiga BOOKS
Meie tarnija laos
TOP
Flowers For Algernon: A Modern Literary Classic
-25% koodiga BOOKS
Meie tarnija laos
TOP
Foundations of Flavor: The Noma Guide to Fermentation: Including Step-By-Step Information on Making and Cooking with: Koji, Kombuchas, Shoyus, Misos, Vinegars, Garums, Lacto-Ferments and black Fruits Vegetables
-25% koodiga BOOKS
Meie tarnija laos
TOP
Raspberry Pi 5 for Radio Amateurs: Program and Build Raspberry Pi 5 Based Ham Station Utilities with the RTL-SDR
-25% koodiga BOOKS
Meie tarnija laos
TOP
Digital Design and Computer Architecture, RISC-V Edition
-25% koodiga BOOKS
Meie tarnija laos
TOP
Mastering the Arduino Uno R4: Programming and Projects for the Minima and WiFi
-25% koodiga BOOKS
Meie tarnija laos
Kirjeldus
While Dynamic Programming (DP) has helped solve control problems involving dynamic systems, its value was limited by algorithms that lacked practical scale-up capacity. In recent years, developments in Reinforcement Learning (RL), DP's model-free counterpart, has changed this. Focusing on continuous-variable problems, this unparalleled work provides an introduction to classical RL and DP, followed by a presentation of current methods in RL and DP with approximation. Combining algorithm development with theoretical guarantees, it offers illustrative examples that readers will be able to adapt to their own work.
Lisateave
| Autor | Robert Babuska, Lucian Busoniu, Bart De Schutter |
|---|---|
| Kirjastaja | CRC Press |
| Väljalaskeaasta | 2010 |
| Kaanetüüp | Kõvakaaneline |
| EAN | 9781439821084 |