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Eta prediction with graph neural networks in google maps. A Derrow-Pinion, J She, D Wong, O Lange, T Hester, L Perez, ... Proceedings of the 30th ACM international conference on information …. ,...
Todd Hester. My research is focused on Reinforcement Learning (RL), a method for agents to learn to perform sequential decision making tasks through interaction with their environment. I'm focused on applying RL to more real-world problems, particularly learning on robots.
Todd Hester. Contact Information. 116 NE 58th St Seattle, WA 98105. Voice: (508) 816-3495 E-mail: todd.hester@gmail.com. Web: www.cs.utexas.edu/~todd/ My work is focused on applying cutting edge machine learning to products that will impact many users in a positive way.
Apr 12, 2017 · View a PDF of the paper titled Deep Q-learning from Demonstrations, by Todd Hester and 13 other authors. Deep reinforcement learning (RL) has achieved several high profile successes in difficult decision-making problems.
- Todd Hester, Matej Vecerik, Olivier Pietquin, Marc Lanctot, Tom Schaul, Bilal Piot, Dan Horgan, John...
- arXiv:1704.03732 [cs.AI]
- 2017
View Todd Hester’s profile on LinkedIn, a professional community of 1 billion members. I currently work on the Behavior Prediction team at Waymo.<br><br>Previously, I was at…
- 500+
- Waymo
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Todd Hester. Postdoctoral Alumni, Ph.D. Alumni. Todd's research focused on reinforcement learning and robotics, specifically looking at the exploration versus exploitation problem in reinforcement learning and working to apply it to large domains.
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ETA Prediction with Graph Neural Networks in Google Maps. no code implementations • 25 Aug 2021 • Austin Derrow-Pinion, Jennifer She, David Wong, Oliver Lange, Todd Hester, Luis Perez, Marc Nunkesser, Seongjae Lee, Xueying Guo, Brett Wiltshire, Peter W. Battaglia, Vishal Gupta, Ang Li, Zhongwen Xu, Alvaro Sanchez-Gonzalez, Yujia Li, Petar Veličković
