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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2411.06398 |
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| _version_ | 1866913575476396032 |
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| author | Beaumont, Katharine Collier, Rem |
| author_facet | Beaumont, Katharine Collier, Rem |
| contents | We demonstrate the integration of Transfer Learning into a hypermedia Multi-Agent System using the Multi-Agent MicroServices (MAMS) architectural style. Agents use RDF knowledge stores to reason over information and apply Reinforcement Learning techniques to learn how to interact with a Tic-Tac-Toe API. Agents form advisor-advisee relationships in order to speed up individual learning and exploit and learn from data on the Web. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_06398 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Do you want to play a game? Learning to play Tic-Tac-Toe in Hypermedia Environments Beaumont, Katharine Collier, Rem Multiagent Systems We demonstrate the integration of Transfer Learning into a hypermedia Multi-Agent System using the Multi-Agent MicroServices (MAMS) architectural style. Agents use RDF knowledge stores to reason over information and apply Reinforcement Learning techniques to learn how to interact with a Tic-Tac-Toe API. Agents form advisor-advisee relationships in order to speed up individual learning and exploit and learn from data on the Web. |
| title | Do you want to play a game? Learning to play Tic-Tac-Toe in Hypermedia Environments |
| topic | Multiagent Systems |
| url | https://arxiv.org/abs/2411.06398 |