Machine Learning

This section is the home of my work related things that have been lost in the process of being a researcher.

I also like to publish anything I think a few people will enjoy to read.

Open science is great!

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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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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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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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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