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Machine Learning and Positioning Systems
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Finished Projects

  • Alexander Mattick: Beam Tracking as a Time-Varying Reinforcement Learning Problem
    The envisioned transition to 5G and 6G technologies have started to transform the properties of established communication networks. In the…
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  • Abhinav Singh: Safe Imitation Learning for Beam Tracking
    The envisioned transition to 5G and 6G technologies have started to transform the properties of established communication networks. In the…
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  • Hyeyoung Park: Towards Interpretable (and Robust) Reinforcement Learning Policies through Local Lipschitzness and Randomization
    Reinforcement Learning is broadly applicable for diverse tasks across many domains. On many problems, it has achieved superhuman performance [5].…
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