Job Hunt as a PhD in AI / ML / RL: How it Actually Happens

The full breakdown of what a job search in AI with a new Ph.D. looks like.

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The last reliable (available) path into AI

A confluence of trends leaves AI+something, rather than pure AI, as the last great path into machine learning research.

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ML/RL & Microrobotics

A memo I wrote to my research group on the open questions when applying machine learning to another research area: novel microrobotics.

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Debugging Deep Model-based Reinforcement Learning Systems

Things I have learned in 3 years of a young, and generally tricky research field.

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All grad students (should) study graphic design

People judge your papers by their cover. You can trick them into believing your science with pretty pictures.

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Exploitation Exploration (in MBRL)

A few lessons from model-based reinforcement learning how exploration can happen through exploitation of some metric.

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Lifelong Learning 2021

What I have been learning from recently.

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Reflecting on being a graduate student (in AI) in 2020

Starting to build my guide and advice for graduate school.

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Robot learning, model-based RL, and related optimization at NeurIPs 2020

What I learned about deep RL and model-based learning at NeurIPs 2020.

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Medium tries to save its writers

Why Medium is not a website designed for the best writers.

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A Different Intro to RL in 30 Minutes

A 30 minute conceptual intro to Markov decision processes, iterative updates, and reinforcement learning.

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