The National Science Foundation (NSF) awarded a $474,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of California, Los Angeles (UCLA) from October 1, 2024 to September 30, 2028. The grant supports the development of a suite of neural bandit learning algorithms that leverage deep learning techniques to optimize decision-making under incomplete feedback conditions. Key research thrusts include advancing neural network architectures for bandit learning, investigating decentralized and distributed neural bandit learning, and incorporating privacy and adversarial robustness into the learned models. The researchers will create an open-source neural bandit library and educational materials to disseminate the project's outcomes. The award also provides training opportunities in machine learning and AI for undergraduates, graduate students, and K-12 students, with a focus on underrepresented groups. No sub-awards are planned for this project.
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