Browsing Theses and Dissertations by Subject "Reinforcement learning (Machine learning)"

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On artificial economy with applications to reinforcement learning

Karam, Rita (Notre Dame University-Louaize, 2002)

This thesis discusses Artificial Economy with applications to Reinforcement Learning. It focuses first on Reinforcement Learning, comparing it to other types of learning such as Supervised Learning. It then covers a historical overview of the field and summarizes the current works. The work described in this thesis has a psychological approach as we focus on reward and punishment. We experiment Artificial Economy with a prototype which solves the Blocks World problem. We then show how the Artificial Economy approach can be integrated with other concepts of Reinforcement Learning techniques.
Pratical results from artificial economy with application to reinforcement learning

Soueidy, Amine (Notre Dame University-Louaize, 2001)

This thesis discusses the topic of learning in a complex environment. Both the historical basis of the field and a broad selection of the current works are summarized. Reinforcement learning is the problem faced by an agent that learns behavior through trial-and-error interactions with a dynamic environment. The work described here has a resemblance to work in psychology, but considerably in the details and in the use of the word "reinforcement". We describe the foundations of new field of reinforcement learning named artificial economy. We experiment with a prototype based on the artificial ...

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