Machine learning agents for computer games
In recent years, new Reinforcement Learning algorithms have been developed. These algorithms use Deep Neural Networks to represent the agent’s knowledge. After surpassing previous Artificial Intelligence (AI) milestones, such as Chess and Go, these Deep Reinforcement Learning (DRL) methods were able...
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| Formato: | masterThesis |
| Idioma: | eng |
| Publicado em: |
2021
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| Texto completo: | http://hdl.handle.net/10773/31371 |
| País: | Portugal |
| Oai: | oai:ria.ua.pt:10773/31371 |