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

For example, in the deep learning community we have seen a proliferation of optimization methods specialized for high-dimensional, non-convex optimization problems.

We demonstrate our approach on the task of manipulating objects with a robotic arm.

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

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

Adaptive parameterization is a means of increasing this flexibility and thereby increasing the model's capacity to learn non-linear patterns.

Where is Mary?), another about tracking

The world model's extracted features are fed into compact and simple policies trained by evolution, achieving state of the art results in various

This contrasts human-engineered LAs that generalize across a wide range of datasets or environments. Without such generalization, meta learned LAs can not entirely replace human-engineered variants.

In contrast to many other recently proposed methods for addressing multi-object scenes, our system does not assume the inputs to be images and can therefore directly handle other modalities. We evaluate our method on multi-digit classification of very cluttered images that require texture segmentation.