Reinforcement Learning and Optimal Control
Overview & Synopsis
Reinforcement Learning (RL), one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment.
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Document Information
| Document Title | Reinforcement Learning and Optimal Control |
|---|---|
| Author / Organization | Dimitri P. Bertsekas |
| Subject & Discipline | Reinforcement Learning, Machine Learning, Linear Programming, Optimization, Approximation, etc., Neural Networks and Depp Learning, Artificial Intelligence, Statistics, Mathematical Statistics, and SAS Programming, Probability and Stochastic Processe |
| Categories | Reinforcement Learning |
| Publication Year | 2019 |
| 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 | -0 KB (-1 bytes) |
| Language | ENGLISH |
| Catalog ID | DOC-11253 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |