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Skip to Search Results- 2Abdi Oskouie, Mina
- 2Birkbeck, Neil Aylon Charles
- 2Cai, Zhipeng
- 2Chen, Jiyang
- 2Chowdhury, Md Solimul
- 2Chubak, Pirooz
- 74Machine Learning
- 70Reinforcement Learning
- 41Artificial Intelligence
- 36Machine learning
- 22Natural Language Processing
- 22Reinforcement learning
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Fall 2015
Flow is a psychological state that provides a person with enjoyment when their skills and the challenges of their activity match. Thus flow encourages people to persist at and return to just manageable challenges; thereby fostering the growth of skills over time. It seems natural to assume that...
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Fall 2021
Reinforcement learning (RL) is a powerful way of solving sequential decision-making tasks in which the agent’s goal is to learn how to maximize its reward.RL approaches can be divided into 2 different categories: model-based approaches that learn with the help of a model of the environment,...
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Fall 2014
We designed independent perceptual video compression that can work with all the available video coding standards. We used fovea as the Human Visual System (HVS) properties in this thesis. In this thesis, first, we describe and compare two available foveation techniques used for images. After...