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This paper addresses the problem of inverse reinforcement learning (IRL) in Markov decision processes, that is, the problem of extracting a reward function given observed, optimal behavior.
Andrew Y. Ng, né en 1976 [1], est un chercheur américain en informatique. Il est professeur associé au département de science informatique de l' université Stanford . Son travail concerne principalement l' apprentissage automatique et la robotique .
Andrew Ng Internal Medicine Resident Physician at the University of Massachusetts Chan Medical School-Baystate Health Internal Medicine Residency Program Springfield, MA. Andrew Ng Founder ...
- DeepLearning.AI
Adam Coates, Andrej Karpathy, Andrew Y. Ng. NIPS'12: Proceedings of the 25th International Conference on Neural Information Processing Systems - Volume 2 • December 2012, pp 2690-2798. Recent work in unsupervised feature learning has focused on the goal of discovering high-level features from unlabeled images.
Andrew Ng is Founder of DeepLearning.AI, General Partner at AI Fund, Chairman and Co-Founder of Coursera, and an Adjunct Professor at Stanford University. As a pioneer both in machine learning and online education, Dr. Ng has changed countless lives through his work in AI, authoring or co-authoring over 100 research papers in machine learning, robotics, and related fields.
Andrew Y. Ng's 400 research works with 155,234 citations and 39,132 reads, including: Evaluating progress in automatic chest X-ray radiology report generation
Daphne Koller and Andrew Y. Ng. In Journal of Machine Learning Research, 7:1743-1788, 2006. [9] Autonomous helicopter tracking and localization using a self-calibrating cam-era array, Masa Matsuoka, Surya Singh, Alan Chen, Adam Coates, Andrew Y. Ng and Sebastian Thrun. In International Journal of Robotics Research (IJRR), 2006.
