One-Shot Imitation Learning — mentioned by indescions_2017

Sat, 30 Sep 2017 00:39:15 GMT

OTOH, we are merely at circa Year Five into deep reinforcement learning research. It started as a cluster of 16M CPUs having taught itself to recognize a cat 95% of the time after training on 1B google images. And we are now at One-Shot Imitation Learning, "a general system that can turn any demonstrations into robust policies that can accomplish an overwhelming variety of tasks". One Shot Imitation Learning https://arxiv.org/abs/1703.07326

Paper and discussion history. A mention is not an endorsement.

One-Shot Imitation Learning — mentioned by jorgemf

Tue, 16 May 2017 18:42:15 GMT

The real value of this is the algorithm of "one-shot imitation learning" (the paper is here: https://arxiv.org/pdf/1703.07326.pdf ). The title about robots it is only to catch the attention of the media. The domain is simple to show the idea, but it can be applied to more complex domains once you know how to define it (which it is usually really complex). The blocksworld domain is used because it has been used in automatic planning for decades, and it is well know in research. It feels trivial to use only 6 blocks, but when you want to create an automatic plan of the steps to reach the final…

Paper and discussion history. A mention is not an endorsement.

One-Shot Imitation Learning · HackerPapers discussions

One-Shot Imitation Learning — mentioned by indescions_2017

One-Shot Imitation Learning — mentioned by jorgemf