Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
Overview & Synopsis
The first comprehensive introduction to Multi-Agent Reinforcement Learning (MARL), covering MARL’s models, solution concepts, algorithmic ideas, technical challenges, and modern approaches.
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Document Information
| Document Title | Multi-Agent Reinforcement Learning: Foundations and Modern Approaches |
|---|---|
| Author / Organization | Stefano V. Albrecht, Filippos Christianos, Lukas Schäfer |
| Subject & Discipline | Reinforcement Learning, Machine Learning, Neural Networks and Depp Learning, Artificial Intelligence, Statistics, Mathematical Statistics, and SAS Programming, Probability and Stochastic Processe |
| Categories | Reinforcement Learning |
| Publication Year | 2024 |
| ISBN | 0262049376 |
| License / Rights | Creative Commons License (CC) |
| 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-9724 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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