2104 results for "earn" across all locations
When Does My Account Incur An Arrear
#WhyIRide Anthony, A Tap Dancer
Anthony’s occupation is not a popular one in Hong Kong. Uber came into his life and helped him to strike a better balance.
Western suburbs rejoice, your Uber is arriving now.
Ringing in 2017 in Beirut
Thank you to the hundreds of drivers who moved Beirut safely, and to the riders who let us be part of their evening.
Uber to the Train to the Plane
Looking back on 2016 with Uber in Chennai
Uber Fight Club: Ed Norton gets beat in race for LA Rider Zero
In one corner…a handsome, talented, Hollywood hearthrob. In the other…Ed Norton. Edward Norton had surfboard in one hand, Blackberry in the other, attempting to steal the rider 0 crown before hitting the beach in Malibu.
UberARTIST: Meet Photographer and Driver-Partner Nitin
Driver-partner Nitin has photographed everyone from Jay-Z to Paul Simon to President Obama. We caught up with the recent LA transplant and #UberARTIST to learn more about his life up in London, how he landed in LA, and his take on photographing the world’s most famous hip-hop stars.
Three key learnings from Uber Latin America’s women in tech event series
During Uber’s Ada Talks event series, panels composed of women in tech at Uber, offer an exciting glimpse into day-to-day life, their exciting and impactful work, and how they continue to grow their careers at Uber.
Deep Curiosity Search: Intra-Life Exploration Can Improve Performance on Challenging Deep Reinforcement Learning Problems
C. Stanton, J. Clune
Traditional exploration methods in RL require agents to perform random actions to find rewards. But these approaches struggle on sparse-reward domains like Montezuma’s Revenge where the probability that any random action sequence leads to reward is extremely low. Recent algorithms have performed well on such tasks by encouraging agents to visit new states or perform new actions in relation to all prior training episodes (which we call across-training novelty). […] [PDF]
2018