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Merge pull request #8 from AlexandreAmice/wip_branch
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fix some typos
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AlexandreAmice authored May 2, 2023
2 parents ab255f6 + 0927cb7 commit e63c70f
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4 changes: 2 additions & 2 deletions content/authors/admin/_index.md
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- name: MIT

# Short bio (displayed in user profile at end of posts)
bio: I study optimal and efficient decision making especially in large-scale and complex dynamical systems.
bio: I study optimal and efficient decision making, especially in large-scale and complex dynamical systems.

# Interests to show in About widget
interests:
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I am a third year PhD student in MIT's EECS Department advised by [Professor Pablo Parrilo](https://www.mit.edu/~parrilo/) and [Professor Russ Tedrake](https://groups.csail.mit.edu/locomotion/russt.html). I am broadly interested in optimal and efficient decision making especially for large scale or complex dynamical systems. I am particularly interested in exploiting polynomial and graph structure to obtain tractable algorithms for problems in control theory and certification. In addition to my research, I am an active contributor to [Drake](https://drake.mit.edu/), an open-source simulator for model-based design and control of robots.
I am a third year PhD student in MIT's EECS Department advised by [Professor Pablo Parrilo](https://www.mit.edu/~parrilo/) and [Professor Russ Tedrake](https://groups.csail.mit.edu/locomotion/russt.html). I am broadly interested in optimal and efficient decision making, especially for large scale or complex dynamical systems. I am particularly interested in exploiting polynomial and graph structure to obtain tractable algorithms for problems in control theory and certification. In addition to my research, I am an active contributor to [Drake](https://drake.mit.edu/), an open-source simulator for model-based design and control of robots.
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2 changes: 1 addition & 1 deletion content/project/Constraint_Relax/index.md
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---
title: Resilient Behavior Through Optimization
summary: Resiliency of control cystems and learning algorithms via counter-factual optimization
summary: Resiliency of control systems and learning algorithms via counter-factual optimization
tags:
- Constraint_Relax
date: '2020-05-27T00:00:00Z'
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