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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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Spring 2022
Reinforcement learning (RL) offers agents a framework for learning to perform hard-to-engineer behaviors that other machine learning (ML) approaches cannot due to the complex nature of these problems. However, it is impractical to learn a complex task from scratch due to reasons such as the huge...
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Fall 2013
This thesis proposes and evaluates methods to improve two algorithmic ap- proaches for Hierarchical Agglomerative Clustering. These new methods in- crease the scalability and speed of the traditional Hierarchical Agglomerative Clustering algorithm without using any approximations. The first...
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Fall 2010
The Wireless Sensor Networks (WSNs) have emerged as a new paradigm for collecting and processing data from physical environments, such as wild life sanctuaries, large warehouses, and battlefields. Users can access sensor data by issuing queries over the network, e.g., to find what are the 10...
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Fall 2023
The presence of control-flow divergence in loops can either hinder or impede auto-vectorization as a compiler transformation to exploit parallelism enabled by Single-Instruction Multiple-Data (SIMD) instructions. A solution is to linearize control flow through the use of predicated execution....
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Spring 2019
In the reinforcement learning (RL) problem an agent must learn how to act optimally through trial-and-error interactions with a complex, unknown, stochastic environment. The actions taken by the agent influence not just the immediate reward it observes but also the future states and rewards it...
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Fall 2022
Matrix multiplication is a key operation both in high-performance computing and in deep-learning applications. Generic building blocks have been introduced to abstract a matrix-multiplication operation and to enable the generation of efficient code for multiple architectures. This thesis presents...