2052 results for "receipt" across all locations
Win an UberJET to Aspen
There is a bigger way to earn in Cedar Rapids
There is a bigger way to earn in Iowa City
Uber Eats at Dodger Stadium
In 2024, fans at Dodger Stadium can order food and beverages for fast pickup directly from the Uber Eats app. When at Dodger Stadium, you can open your Uber Eats app, select the location you’re in, and you will be shown all available merchants you can order from. When the order is ready, you will receive a notification to skip the line and pick it up, so you don’t have to spend time waiting in lines and risk missing any of the game
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
Bayesian inference on random simple graphs with power law degree distributions
J. Lee, C. Heaukulani, Z. Ghahramani, L. James, S. Choi
We present a model for random simple graphs with a degree distribution that obeys a power law (i.e., is heavy-tailed). To attain this behavior, the edge probabilities in the graph are constructed from Bertoin-Fujita-Roynette-Yor (BFRY) random variables, which have been recently utilized in Bayesian statistics for the construction of power law models in several applications. […] [PDF]
International Conference on Machine Learning (ICML), 2017
Face Mask Collections at Dekra
Uber and Dekra South Africa have partnered to distribute masks to driver-partners. The masks are made by the Youth Employment Service, a nonprofit organisation, that supports unemployed youth in South Africa. The masks are made from fabric and are washable, therefore making them reusable. Qualifying driver-partners will receive two masks, at no cost to them, so that they can wear one while washing the other.
Variational Bayesian dropout: pitfalls and fixes
J. Hron, A. Matthews, Z. Ghahramani
Dropout, a stochastic regularisation technique for training of neural networks, has recently been reinterpreted as a specific type of approximate inference algorithm for Bayesian neural networks. The main contribution of the reinterpretation is in providing a theoretical framework useful for analysing and extending the algorithm […] [PDF]
International Conference on Machine Learning (ICML), 2018
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
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