Mathematical Foundations of Reinforcement Learning
Overview & Synopsis
This book provides a mathematical yet accessible introduction to the fundamental concepts, core challenges, and classic Reinforcement Learning (RL) algorithms. It aims to help readers understand the theoretical foundations of algorithms, providing insights into their design and functionality. Numerous illustrative examples are included throughout.
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Document Information
| Document Title | Mathematical Foundations of Reinforcement Learning |
|---|---|
| Author / Organization | Shiyu Zhao |
| Subject & Discipline | Reinforcement Learning, Machine Learning, Algorithms and Data Structures, Neural Networks and Depp Learning, Artificial Intelligence, Statistics, Mathematical Statistics, and SAS Programming, Probability and Stochastic Processe |
| Categories | Reinforcement Learning |
| Publication Year | 2025 |
| ISBN | 9819739438 |
| Resource Verification | ✓ Verified Direct PDF Available |
| Alternative Mirrors & Links | |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Reported File Size | 19434.5 KB (19,900,902 bytes) |
| Language | ENGLISH |
| Catalog ID | DOC-112764 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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