Search Results for author: Udaya Ghai

Found 6 papers, 1 papers with code

Robust Online Control with Model Misspecification

no code implementations16 Jul 2021 Xinyi Chen, Udaya Ghai, Elad Hazan, Alexandre Megretski

We study online control of an unknown nonlinear dynamical system that is approximated by a time-invariant linear system with model misspecification.

Deluca -- A Differentiable Control Library: Environments, Methods, and Benchmarking

1 code implementation19 Feb 2021 Paula Gradu, John Hallman, Daniel Suo, Alex Yu, Naman Agarwal, Udaya Ghai, Karan Singh, Cyril Zhang, Anirudha Majumdar, Elad Hazan

We present an open-source library of natively differentiable physics and robotics environments, accompanied by gradient-based control methods and a benchmark-ing suite.

OpenAI Gym

Machine Learning for Mechanical Ventilation Control

no code implementations12 Feb 2021 Daniel Suo, Cyril Zhang, Paula Gradu, Udaya Ghai, Xinyi Chen, Edgar Minasyan, Naman Agarwal, Karan Singh, Julienne LaChance, Tom Zajdel, Manuel Schottdorf, Daniel Cohen, Elad Hazan

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 according to a trajectory of airway pressures specified by a clinician.

Generating Adversarial Disturbances for Controller Verification

no code implementations12 Dec 2020 Udaya Ghai, David Snyder, Anirudha Majumdar, Elad Hazan

We consider the problem of generating maximally adversarial disturbances for a given controller assuming only blackbox access to it.

No-Regret Prediction in Marginally Stable Systems

no code implementations6 Feb 2020 Udaya Ghai, Holden Lee, Karan Singh, Cyril Zhang, Yi Zhang

This requires a refined regret analysis, including a structural lemma showing the current state of the system to be a small linear combination of past states, even if the state grows polynomially.

Exponentiated Gradient Meets Gradient Descent

no code implementations5 Feb 2019 Udaya Ghai, Elad Hazan, Yoram Singer

The hypentropy has a natural spectral counterpart which we use to derive a family of matrix-based updates that bridge gradient methods and the multiplicative method for matrices.

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