Many of today’s most useful AI systems are multilabel classifiers: they map input data into multiple categories at once. An object recognizer, for instance, ...
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Sahika Genc is a principal applied scientist with Amazon. Her team works on reinforcement learning (RL) algorithms for Amazon Sagemaker, which provides ...
Reinforcement learning (RL) is a technique in which an AI agent interacts with an environment and learns a policy based on the rewards that it receives ...
Dean Foster is in the forecasting business. More specifically, he is in the business of ensuring the forecasts Amazon makes for its supply chain are as ...
At the 21st ACM Conference on Economics and Computation this July, Dean Foster, a research scientist in Amazon's Supply Chain Optimization Technologies ...
As deep neural networks have come to dominate AI, the Conference on Neural Information Processing Systems (NeurIPS 2020) has become the most popular ...
Reinforcement learning (RL), in which an agent learns to maximize some reward through trial-and-error exploration of its environment, is a hot topic in AI. ...
Competitions are a key part of the annual NeurIPS conference program. This year, 16 competitions were accepted, and a quarter of them focused on ...
If general-purpose household robots ever become a reality, it would be nice to address them in natural language — to say to a robot, for instance, “Take the ...
Amazon’s papers at the International Conference on Machine Learning (ICML) lean — like the conference as a whole — toward the theoretical. Although some ...