I'm actually really excited about this because this is the kind of data that a tiny startup couldn't just get and helps people compete. I am still worried that nobody will be able to compete with the big guys long term in RL, simply because they have the money and access to build these huge training sets, but at least this gives someone somewhat of a chance.

Kudos to Vincent, Sergey, Chelsea and Laura for promoting openness in ML research!!

Link to datasets: https://sites.google.com/site/brainrobotdata/home

Damn, 800,000 grasp attempts? Pretty nuts that they need this many... but I guess without tactile feedback, only relying on visual feedback you need this many attempts to get it right.

Awesome - I think this could be really useful for action recognition. Collecting large video datasets is really challenging and google's robot array is a great way to repeatedly create these kinds of custom datasets.

Very cool, but isn't this a reinforcement learning task? Don't you need access to the machines to get them to learn?