4 papers
Physics-Informed Parametric Bandits for Beam Alignment in mmWave Communications
Hao Qin, Thang Duong, Ming F. Li +1
In millimeter wave (mmWave) communications, beam alignment and tracking are crucial to combat the significant path loss. As scanning the entire directional space is inefficient, de…
Improving the Data-efficiency of Reinforcement Learning by Warm-starting with LLM
Thang Duong, Minglai Yang, Chicheng Zhang
We investigate the usage of Large Language Model (LLM) in collecting high-quality data to warm-start Reinforcement Learning (RL) algorithms for learning in some classical Markov De…
Enhancing Vietnamese VQA through Curriculum Learning on Raw and Augmented Text Representations
Khoi Anh Nguyen, Linh Yen Vu, Thang Dinh Duong +3
Visual Question Answering (VQA) is a multimodal task requiring reasoning across textual and visual inputs, which becomes particularly challenging in low-resource languages like Vie…
Beyond Task Diversity: Provable Representation Transfer for Sequential Multi-Task Linear Bandits
Thang Duong, Zhi Wang, Chicheng Zhang
We study lifelong learning in linear bandits, where a learner interacts with a sequence of linear bandit tasks whose parameters lie in an -dimensional subspace of …