Exploiting semantic segmentation to boost reinforcement learning in video game environments
The version of record of this article, first published in Multimedia Tools and Applications , is available online at Publisher’s website: http://dx.doi.org/10.1007/s11042-022-13695-1
| Authors: | , , |
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| Format: | article |
| Publication Date: | 2022 |
| Country: | España |
| Institution: | Universidad Autónoma de Madrid |
| Repository: | Biblos-e Archivo. Repositorio Institucional de la UAM |
| Language: | English |
| OAI Identifier: | oai:repositorio.uam.es:10486/704109 |
| Online Access: | http://hdl.handle.net/10486/704109 https://dx.doi.org/10.1007/s11042-022-13695-1 |
| Access Level: | Open access |
| Keyword: | Semantic segmentation Reinforcement learning Domain adaptation Synthetic data Electrónica Telecomunicaciones |
| Summary: | The version of record of this article, first published in Multimedia Tools and Applications , is available online at Publisher’s website: http://dx.doi.org/10.1007/s11042-022-13695-1 |
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