Reinforcement Learning: Theory and Algorithms
Overview & Synopsis
The purpose of the course is to give an overview of the Reinforcement Learning (RL) methodology, particularly as it relates to problems of optimal and suboptimal decision and control, as well as discrete optimization.
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Document Information
| Document Title | Reinforcement Learning: Theory and Algorithms |
|---|---|
| Author / Organization | Alekh Agarwal, Nan Jiang, Sham M. Kakade, Wen Sun |
| 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 | 2026 |
| 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 | 1155.8 KB (1,183,518 bytes) |
| Language | ENGLISH |
| Catalog ID | DOC-11248 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |