1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Overcoming Overfitting in Reinforcement Learning via Gaussian Process Diffusion Policy
Amornyos Horprasert, Esa Apriaskar, Xingyu Liu +2
One of the key challenges that Reinforcement Learning (RL) faces is its limited capability to adapt to a change of data distribution caused by uncertainties. This challenge arises…
q-bio.PE2023★ 1 cited
Steady-state analysis of networked epidemic models
Sei Zhen Khong, Lanlan Su
Compartmental epidemic models with dynamics that evolve over a graph network have gained considerable importance in recent years but analysis of these models is in general difficul…
eess.SY2021
On the Necessity and Sufficiency of Discrete-Time O'Shea-Zames-Falb Multipliers
Lanlan Su, Peter Seiler, Joaquin Carrasco +1
This paper considers the robust stability of a discrete-time Lurye system consisting of the feedback interconnection between a linear system and a bounded and monotone nonlinearity…