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Skip to Search Results- 2Abdi Oskouie, Mina
- 2Birkbeck, Neil Aylon Charles
- 2Cai, Zhipeng
- 2Chen, Jiyang
- 2Chowdhury, Md Solimul
- 2Chubak, Pirooz
- 83Machine Learning
- 76Reinforcement Learning
- 42Artificial Intelligence
- 37Machine learning
- 24Natural Language Processing
- 23reinforcement learning
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Fall 2019
Occupancy and thermal modelling is the foundation of several smart building applications, such as intelligent control of residential and commercial buildings' Heating, Ventilation and Air Conditioning (HVAC) system to improve energy efficiency and overall occupant experience in the built...
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Fall 2009
IP address lookup is an important processing function of Internet routers. The challenge lies in finding the longest prefix that matches the packet’s destination address. One of the issues concerning IP address lookups is the average lookup time. In previous works, caching was shown to be an...
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Fall 2024
The sensitivity of reinforcement learning algorithm performance to hyperparameter choices poses a significant hurdle to the deployment of these algorithms in the real-world, where sampling can be limited by speed, safety, or other system constraints. To mitigate this, one approach is to learn a...
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Spring 2024
As cancer is the leading global cause of death, an ongoing challenge is predicting an individual's cancer progression accurately, to facilitate personalized treatment planning. Individuals diagnosed with cancer may succumb to the illness or face cancer recurrence post-treatment. The first part of...
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Fall 2024
Reinforcement learning has been widely applied in different control tasks. However, its performance often faces the challenge of low sample efficiency. Introducing human prior knowledge is often seen as a possible solution, such as behaviour cloning, learning from advice, and inverse...