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05/27/2023
Online Nonstochastic Model-Free Reinforcement Learning
In this work, we explore robust model-free reinforcement learning algori...
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05/30/2022
Non-convex online learning via algorithmic equivalence
We study an algorithmic equivalence technique between nonconvex gradient...
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01/28/2022
A Regret Minimization Approach to Multi-Agent Control
We study the problem of multi-agent control of a dynamical system with k...
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11/19/2021
Machine Learning for Mechanical Ventilation Control (Extended Abstract)
Mechanical ventilation is one of the most widely used therapies in the I...
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07/16/2021
Robust Online Control with Model Misspecification
We study online control of an unknown nonlinear dynamical system that is...
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02/19/2021
Deluca – A Differentiable Control Library: Environments, Methods, and Benchmarking
We present an open-source library of natively differentiable physics and...
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02/12/2021
Machine Learning for Mechanical Ventilation Control
We consider the problem of controlling an invasive mechanical ventilator...
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12/12/2020
Generating Adversarial Disturbances for Controller Verification
We consider the problem of generating maximally adversarial disturbances...
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02/06/2020
No-Regret Prediction in Marginally Stable Systems
We consider the problem of online prediction in a marginally stable line...
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02/05/2019
