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, X
• Daniel Whitenack – Website, GitHub, X

Show 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

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