An Introduction to Deep Reinforcement Learning
Overview & Synopsis
Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research has recently been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine.
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Document Information
| Document Title | An Introduction to Deep Reinforcement Learning |
|---|---|
| Author / Organization | Vincent François-Lavet, Peter Henderson, Riashat Islam |
| Subject & Discipline | Depp Learning, Reinforcement Learning, Machine Learning, Statistics, Mathematical Statistics, etc., Probability and Stochastic Processe |
| Categories | Depp Learning |
| ISBN | 1680835386 |
| License / Rights | Creative Commons License (CC) |
| Resource Verification | ✓ Verified Direct PDF Available |
| Alternative Mirrors & Links | |
| Original Host Website |
FreeComputerBooks.com
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| File Format | application/pdf (Portable Document Format) |
| Reported File Size | 2235 KB (2,288,595 bytes) |
| Language | ENGLISH |
| Catalog ID | DOC-10564 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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