1763 results for "airport" across all locations
Handy tips for the perfect Uber pickup
We know how important it is that you get where you need to be on time. Check out our top tips for getting the best possible Uber pick-up experience.
In the Driver’s Seat for Uber’s Ride Ahead in India
We are pleased to announce that Amit Jain has joined Uber as President, Uber India. In this role, Amit will be running all business strategy, operations, and growth in a market of global strategic importance for Uber.
Une expérience plus sûre sur la route
La fonctionnalité “Heures de conduite” vise à apporter plus de sécurité aux chauffeurs comme aux passagers. Découvrez son fonctionnement en détails.
Celebrating 4 Years in Toronto
March 16, 2016 marks our 4th year in Toronto. On this anniversary, let’s take a look at where we’ve been and—more importantly—where we’re going together.
Important information about cancellation fee in Warsaw
We understand that sometimes you need to cancel the trip for various reasons. With Uber you can always cancel a trip in the app, and then re-order it
Africa, we’re celebrating you.
Here’s to you, Africa! We’ve been moving you for almost 5 years, and what a ride it has been.
Meet Harassmap, Uber’s safety partner in Egypt
Driver and rider safety are at the core of Uber. Meet Heba Ali Youssif of our safety partner Harassmap
Cinci sugestii pentru călătorii de ultim moment fără stres de sărbători
Cinci sugestii de călătorie pentru planuri de sărbători mai puțin stresante.
Celebrate this ‘Marghazi’ season with Uber
Celebrate this ‘Marghazi’ season with Uber
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity
T. Miconi, A. Rawal, J. Clune, K. Stanley
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. To address this shortfall, we introduce a new algorithm called Go-Explore. […] [PDF]
International Conference on Learning Representations (ICLR), 2019