Imitation learning has proven to be a powerful tool for training complex visuo-motor policies. However, current methods often require hundreds to thousands of expert demonstrations to handle high-dimensional visual observations.

Even superforecasters are guessing that they'll soon be obsolete. To live in time is to wonder what will happen next. In every human society, there are people who obsess over the world's patterns to predict the future. In antiquity, they told kings which stars would appear at nightfall. Today they build the quantitative models that nudge governments into opening spigots of capital.

Proxy causal learning (PCL) isamethod forestimating thecausal effectoftreatments on outcomes in the presence of unobserved confounding, usingproxies (structured side information) for the confounder.

This paper introduces a novel, integrated approach AHA ( A daptive H uman-A ssisted OOD learning) to simultaneously address both OOD generalization and detection through a human-assisted framework by labeling data in the wild.

Neural Information Processing Systems http://nips.cc/

Neural Information Processing Systems http://nips.cc/