Senior Research Scientist & Founding Member
Uber AI Labs
AI Research Lead
Assistant Professor and Senior Researcher
MIT/Microsoft Semantic Machines
Senior Research Scientist/Research Scientist
Nvidia AI Research Lab/Stanford AI Lab
Facebook AI Research (FAIR)
Senior Research Scientist
Co-Founder and CTO
Find out more about Marc Bellemere's work at Google Brain and his previous work at DeepMind here...Read More
Behavioral psychologists have long used mazes to study memory and learning; their subjects, mostly rats and mice. Now researchers are beginning to use the same approach to test an entirely new kind of subject—the latest breed of artificial intelligence machine. Hear more from Junhyuk Oh, University of Michigan.Read More
Improving neural networks not through teaching, but through evolution—is revealing its potential. Five new papers from Uber in San Francisco, California, demonstrate the power of so-called neuroevolution to play video games, solve mazes, and even make a simulated robot walk.Read More
Jacob Andreas joins the Department of Electrical Engineering and Computer Science as an assistant professor in July 2019. His work is focused on using language as a scaffold for more efficient learning and as a probe for understanding model behavior.Read More
Animesh's current research focuses on machine learning algorithms for perception and control in robotics. Animesh is specifically interested in enabling efficient imitation in robot learning and human-robot interaction.Read More
Researchers Abhishek Gupta, Benjamin Eysenbach, Chelsea Finn and Sergey Levine introduced an approach called Unsupervised Meta Learning which allows an AI agent to get a distribution of tasks. The agent can go on to do meta learning over these tasks.Read More
Discover advances in deep reinforcement learning algorithms & methods from the world's leading innovators, from research pioneers to industry leaders, deploying applications of deep reinforcement learning in the real world, e.g. robotics, recommendations & manufacturing.
The summit will showcase academic advancements of deep RL as well as their impact in business & industry. Where do the challenges still lie in research? How can companies leverage progress? How can we apply the notion of learning from environment to process inputs & choose complex actions?
A unique opportunity to interact with engineers, research scientists, professors, and startups leading the deep reinforcement learning progression. Learn from & connect with 450+ industry innovators & researchers sharing insights, trends, recent discoveries & best practices.
Abi Comma - Senior Data Scientist
Manuel Proissl - Senior Quant & Data Scientist
Christian Bender - Data Scientist
Angelo Vivo - Operations Analyst