Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/121255| Author(s): | Diogo Henrique Marques Cruz |
| Title: | Deep Reinforcement Learning in Strategic Multi-Agent Games: the case of No-Press Diplomacy |
| Issue Date: | 2019-07-12 |
| Subject: | Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering |
| Scientific areas: | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática Engineering and technology::Electrical engineering, Electronic engineering, Information engineering |
| DOI: | 10.34626/yce2-8k57 |
| TID identifier: | 202391310 |
| URI: | https://hdl.handle.net/10216/121255 |
| Document Type: | Dissertação |
| Rights: | restrictedAccess |
| Appears in Collections: | FEUP - Dissertação |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 343528.2.pdf Restricted Access | Reinforcement Learning in Multi-Agent Games: OpenAI Gym Diplomacy Environment | 461.83 kB | Adobe PDF | View/Open |
| 343528.1.pdf | Deep Reinforcement Learning in Strategic Multi-Agent Games: the case of No-Press Diplomacy | 6.99 MB | Adobe PDF |  View/Open |
| 343528.tex Restricted Access | tex file of Abstract | 3.88 kB | TeX | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.