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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Bibliographic Details
Main Author: Araújo, Miguel Diogo Ferraz (author)
Format: masterThesis
Language:eng
Published: 2021
Subjects:
Machine learning
Reinforcement learning
Deep learning
Deep reinforcement learning
Agents
Computer games
Online Access:http://hdl.handle.net/10773/31371
Country:Portugal
Oai:oai:ria.ua.pt:10773/31371

Internet

http://hdl.handle.net/10773/31371

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