Kenneth O. Stanley and Jeff Clune served as co-senior authors of this article and its corresponding paper.
At Uber, many of the hard problems we work on can benefit from machine learning, such as improving safety, improving ETAs, …
Kenneth O. Stanley and Jeff Clune served as co-senior authors of this article and its corresponding paper.
At Uber, many of the hard problems we work on can benefit from machine learning, such as improving safety, improving ETAs, …
This research was conducted with valuable help from collaborators at Google Brain and OpenAI.
A selection of trained agents populating the Atari zoo.
Some of the most exciting advances in AI recently have come from the field of deep reinforcement …
Uber uses convolutional neural networks in many domains that could potentially involve coordinate transforms, from designing self-driving vehicles to automating street sign detection to build maps and maximizing the efficiency of spatial movements in the Uber Marketplace.
In deep learning, …
We recently published an article announcing five papers on deep neuroevolution, including the discovery that genetic algorithms can solve deep reinforcement learning problems as well as popular alternatives, such as deep Q-learning and policy gradients. That work follows on …