652 results for "uber estimate" across all locations
Uber’s impact on Taxi Crime in Chicago
Taxicabs have been the venue for thousands of crimes committed in Chicago in the last decade. However, Uber’s entrance into Chicago has shown a favorable correlation with the decline of taxi crime rates.
A smooth landing for uberX at Adelaide Airport
uberX is now available from Adelaide Airport. Riders can enjoy simple, safe and hassle-free transportation from ADL to their final destination.
The Mirage of Action-Dependent Baselines in Reinforcement Learning
G. Tucker, S. Bhupatiraju, S. Gu, R. Turner, Z. Ghahramani, S. Levine
Policy gradient methods are a widely used class of model-free reinforcement learning algorithms where a state-dependent baseline is used to reduce gradient estimator variance. Several recent papers extend the baseline to depend on both the state and action and suggest that this significantly reduces variance and improves sample efficiency without introducing bias into the gradient estimates. […] [PDF]
International Conference on Machine Learning (ICML), 2018
How to Request an Uber at Sea-Tac Airport
Welcome to Sea-Tac Airport! Here are your Uber options when requesting a ride at the airport.
Como funciona o Painel do UberX Promo
Estamos começando a testar uma novidade que deve te ajudar a escolher as viagens que fazem mais sentido pra você: o Painel do UberX Promo.
Com ele, você poderá escolher a sua próxima viagem de UberX Promo a partir de uma lista de alternativas, em vez de analisar só uma por vez. Essa ferramenta ficará disponível quando o seu veículo não estiver em movimento.
Discover Hyderabad, worry free
Fare Estimates And Price to ride around Hyderabad.
Discover your city, worry-free
With transparent, upfront pricing, there’s no room for worries in an Uber.
UberBlack: Your luxury ride returns to Basel
Starting June 7th, you can request your UberBlack ride to get you around Switzerland’s art capital effortlessly and in style.
Deep Multi-Sensor Lane Detection
M. Bai, G. Mattyus, N. Homayounfar, S. Wang, S. K. Lakshmikanth, R. Urtasun
Reliable and accurate lane detection has been a long-standing problem in the field of autonomous driving. In recent years, many approaches have been developed that use images (or videos) as input and reason in image space. In this paper we argue that accurate image estimates do not translate to precise 3D lane boundaries, which are the input required by modern motion planning algorithms. […] [PDF]
International Conference on Intelligent Robots and Systems (IROS), 2018