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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Nathan is a robot learning researcher, writer, non-professional athlete, and a mental-health advocate.
There really is too much noise.
I do my best to only contribute high signal content on machine learning, human optimization, and the nature of life.
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Nathan is a researcher, athlete, writer, and mental-health advocate.
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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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BotNet: A Simulator for Studying the Effects of Accurate Communication Models on Multi-agent and Swarm Control
A simulator for studying high-agent-count networked systems!
Axes for Sociotechnical Inquiry in AI Research
We present a concise set of directions for understanding the societal risks of new directions of AI research.
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning
An open-source PyTorch repository designed from the bottom up for model-based reinforcement learning research.