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2701 results for "uber vip" across all locations

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Promotions 20 de abril de 2016 / Denver

Time for a Reboot – Recycle your Old Computers On Demand

We’re collecting your old computers with the tap of a button!

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Promotions 29 de março de 2018 / Boston

Ride with Uber to and from Fenway Park

Get all the details on getting a ride to and from the home of the Boston Red Sox, Fenway Park.

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Promotions 4 de dezembro de 2017 / Recife

Viagens Premiadas da Uber: você merece descontos viajando na terça-feira

Entre os dias 05 e 19 de dezembro você poderá ganhar prêmios realizando viagens com a Uber às terças-feiras. São mais de 7.000 prêmios.

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Stories 8 de agosto de 2017 / Kolkata

Around Kolkata in 24 hours

What to do in Kolkata in 24 hours.

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Drive 17 de junho de 2016 / US

5 inspiring audiobooks to help you grow and succeed

A good audiobook can turn your downtime between trips into an empowering motivational session. Here are 5 to get you started.

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Drive 17 de junho de 2016 / US

5 Audiobooks Everyone Should Listen To

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Promotions 27 de abril de 2016 / Toronto

Toronto, We’re Bringing You Puppies

Yup, you heard right. National Adopt a Shelter Pet Day is coming up, and to raise awareness of the need for responsible pet adoption, we’re bringing you an on-demand experience that will be im-pawssible to forget.

Uber AI, Engineering 1 de dezembro de 2018 / Global

Robustness to out-of-distribution inputs via taskaware generative uncertainty

R. McAllister, G. Kahn, J. Clune, S. Levine
Deep learning provides a powerful tool for machine perception when the observations resemble the training data. However, real-world robotic systems must react intelligently to their observations even in unexpected circumstances. This requires a system to reason about its own uncertainty given unfamiliar, out-of-distribution observations. […] [PDF]
International Conference on Robotics and Automation (ICRA), 2019

Uber AI, Engineering 1 de janeiro de 2019 / Global

Go-Explore: a New Approach for Hard-Exploration Problems

A. Ecoffet, J. Huizinga, J. Lehman, K. Stanley, J. Clune
A grand challenge in reinforcement learning is intelligent exploration, especially when rewards are sparse or deceptive. Two Atari games serve as benchmarks for such hard-exploration domains: Montezuma’s Revenge and Pitfall. On both games, current RL algorithms perform poorly, even those with intrinsic motivation, which is the dominant method to improve performance on hard-exploration domains. […] [PDF]
2019

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Drive 6 de novembro de 2018 / Brazil

Vantagens de qualidade: aproveite cada uma delas

Saiba mais sobre as vantagens de ser um motorista parceiro Uber. Conheça mais cada benefício da sua parceria e vantagens exclusivas.