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

The algorithm's objective is to minimize regret, which is the total loss of all rounds relative to

I used the public preview of Fitbit's new AI Health Coach and became both faster and noticeably weirder. Someone needs to say it. Someone has to speak up in defense of being mid. Most of us are, as that is the definition of being mid. I work out every day, but I have a full-time job, two kids, a dog, and a spouse.

Therefore, it does not suffer from vanishing gradient at all.

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

Evaluating a policy by deploying it in the real world can be risky and costly.

Imitation learning has traditionally been applied to learn a single task from demonstrations thereof. The requirement of structured and isolated demonstrations limits the scalability of imitation learning approaches as they are difficult to apply to real-world scenarios, where robots have to be able to execute a multitude of tasks. In this paper, we propose a multi-modal imitation learning framework that is able to segment and imitate skills from unlabelled and unstructured demonstrations by learning skill segmentation and imitation learning jointly. The extensive simulation results indicate that our method can efficiently separate the demonstrations into individual skills and learn to imitate them using a single multi-modal policy.

We're learning more about what vitamin D does to our bodies The sunshine vitamin could affect your immune system and heart health. It has started to get really wintry here in London over the last few days. The mornings are frosty, the wind is biting, and it's already dark by the time I pick my kids up from school. The darkness in particular has got me thinking about vitamin D, a.k.a. the sunshine vitamin. At a checkup a few years ago, a doctor told me I was deficient in vitamin D. But he wouldn't write me a prescription for supplements, simply because, as he put it, in the UK is deficient. Putting the entire population on vitamin D supplements would be too expensive for the country's national health service, he told me.

The two first authors made equal contributions.

The popular stochastic gradient methods are well suited for minimizing expected-value objective functions or the sum of a large number of loss functions. Stochastic gradient methods find wide applications in estimation, online learning, and training of deep neural networks.