About this episode
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. Join the discussion Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today! Sponsors: DigitalOcean – Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads. Get started for free with a $50 credit. Learn more at do.co/changelog . AI Demystified (FREE five-day mini-course) – Get an introduction to the most important concepts, types, and business applications for AI and Machine Learning. This course is 100% free. 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 Something missing or broken? PRs welcome!