22 citations · 79 across the 22 of their papers we have counts for
5 papers · 1 filter
Machine Learning for Mechanical Ventilation Control (Extended Abstract)
Daniel Suo, Naman Agarwal, Wenhan Xia +12
Mechanical ventilation is one of the most widely used therapies in the ICU. However, despite broad application from anaesthesia to COVID-related life support, many injurious challe…
Provable Regret Bounds for Deep Online Learning and Control
Xinyi Chen, Edgar Minasyan, Jason D. Lee +1
The theory of deep learning focuses almost exclusively on supervised learning, non-convex optimization using stochastic gradient descent, and overparametrized neural networks. It i…
Robust Online Control with Model Misspecification
Xinyi Chen, Udaya Ghai, Elad Hazan +1
We study online control of an unknown nonlinear dynamical system that is approximated by a time-invariant linear system with model misspecification. Our study focuses on robustness…
A Deep Reinforcement Learning Approach towards Pendulum Swing-up Problem based on TF-Agents
Yifei Bi, Xinyi Chen, Caihui Xiao
Adapting the idea of training CartPole with Deep Q-learning agent, we are able to find a promising result that prevent the pole from falling down. The capacity of reinforcement lea…
Machine Learning for Mechanical Ventilation Control
Daniel Suo, Naman Agarwal, Wenhan Xia +12
We consider the problem of controlling an invasive mechanical ventilator for pressure-controlled ventilation: a controller must let air in and out of a sedated patient's lungs acco…