Tweeted By @svlevine

The lack of good benchmark tasks is one of the biggest obstacles to progress in meta-reinforcement learning right now. With meta-world, we hope to change that: 50 manipulation tasks, divided into a meta-training set and a meta-test set. https://t.co/IJCX997pd4

— Sergey Levine (@svlevine) September 12, 2019