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

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

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

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

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

What I have been learning from recently.

Starting to build my guide and advice for graduate school.

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

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

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