Everyone is talking about it. OpenAI trained a pair of neural nets that enable a robot hand to solve a Rubik’s cube. That is super dope! The results have also generated a lot of commentary and controversy, mainly related to the way in which the results were represented on OpenAI’s blog. We dig into all of this in on today’s Fully Connected episode, and we point you to a few places where you can learn more about reinforcement learning.

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Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:
OpenAI’s result of solving a Rubik’s Cube with a robotic hand:

Blog post
Paper


Example push back on Twitter

Learning resources:

OpenAI Gym Tutorial
PyTorch RL Tutorial
Tensorflow RL Tutorials

Something missing or broken? PRs welcome!

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