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Tyler Lekang
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2020 – today
- 2024
- [i3]Andrew G. Lamperski, Tyler Lekang:
Approximation with Random Shallow ReLU Networks with Applications to Model Reference Adaptive Control. CoRR abs/2403.17142 (2024) - 2023
- [i2]Tyler Lekang, Andrew G. Lamperski:
Function Approximation with Randomly Initialized Neural Networks for Approximate Model Reference Adaptive Control. CoRR abs/2303.16251 (2023) - 2022
- [c3]Tyler Lekang, Andrew G. Lamperski:
Sufficient Conditions for Persistency of Excitation with Step and ReLU Activation Functions. CDC 2022: 2025-2030 - 2021
- [c2]Tyler Lekang, Andrew G. Lamperski
:
Wasserstein Contraction Bounds on Closed Convex Domains with Applications to Stochastic Adaptive Control. CDC 2021: 366-371
2010 – 2019
- 2019
- [i1]Tyler Lekang, Andrew G. Lamperski:
Simple Algorithms for Dueling Bandits. CoRR abs/1906.07611 (2019) - 2016
- [c1]Andrew G. Lamperski
, Bolei Di, Tyler Lekang, Jinsun Liu, Ran Tian:
(Un)ambiguous optimal control. ACC 2016: 1111-1116
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