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.

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

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

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