Stanford University, Department of Computer Science, Advisor : Stefano Ermon
Kuno Kim is a PhD student in the Department of Computer Science at Stanford University, working with Stefano Ermon.
Kuno is interested in developing robust and scalable algorithms for Imitation and Inverse Reinforcement Learning. Currently, he focuses on Inverse Reinforcement Learning in problem scenarios where generic reward priors can be used to improve data efficiency.
Kuno obtained his bachelor's degree from Caltech, majoring in Computer Science, where he applied machine learning tools to applications in healthcare including signal processing for biomedical sensors and optimized physical therapy for patients with spinal cord injuries.
You're now leaving J.P. Morgan
J.P. Morgan’s website and/or mobile terms, privacy and security policies don’t apply to the site or app you're about to visit. Please review its terms, privacy and security policies to see how they apply to you. J.P. Morgan isn’t responsible for (and doesn’t provide) any products, services or content at this third-party site or app, except for products and services that explicitly carry the J.P. Morgan name.