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cs.LG2025
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…
cs.LG2025
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…
cs.LG2025
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 …