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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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Spring 2024
In this thesis, we present approximation schemes for the airport and railway problem (AR) on several classes of graphs. The AR problem, introduced by Adamaszek et al., is a combination of the capacitated facility location problem (CFL) and the network design problem. An AR instance comprises a...
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Improving the reliability of reinforcement learning algorithms through biconjugate Bellman errors
DownloadSpring 2024
In this thesis, we seek to improve the reliability of reinforcement learning algorithms for nonlinear function approximation. Semi-gradient temporal difference (TD) update rules form the basis of most state-of-the-art value function learning systems despite clear counterexamples proving their...
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Spring 2022
Montemayor Castillo, Eduardo I
Simultaneous Location and Mapping (SLAM) has been a well-pursued research area for computer vision and robotics. Robustness and performance are fields that address the efficiency of SLAM solutions. Hyperparameter Optimization (HPO) promises to find a hyperparameter set that displays the lowest...
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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 2018
Image quality assessment (IQA) algorithms aim to simulate human judgment of visual quality on an image. These algorithms are essential components of every multimedia pipeline. IQA is divided into full reference(FR) or no reference (NR) depending on the presence or absence of a pristine image...