A History of Reinforcement Learning – Prof. A.G. Barto

A History of Reinforcement Learning - Prof. A.G. Barto
Recorded July 19th, 2018 at IJCAI2018

Andrew G. Barto is a professor of computer science at University of Massachusetts Amherst, and chair of the department since January 2007. His main research area is reinforcement learning.
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The Evolution of Beauty – Genetics – Prof. Richard Prum

The Evolution of Beauty - Genetics - Prof. Richard Prum
Richard Prum is William Robertson Coe Professor of Ornithology, and Head Curator of Vertebrate Zoology at the Peabody Museum of Natural History at Yale University.

Recorded June 11th, 2018
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Yann LeCun – The Next Step Towards Artificial Intelligence

Yann LeCun - The Next Step Towards Artificial Intelligence
Recorded July 16th 2018

Yann LeCun is the Chief AI Scientist for Facebook AI Research (FAIR), joining Facebook in December 2013. He is also a Silver Professor at New York University on a part time basis, mainly affiliated with the NYU Center for Data Science, and the Courant Institute of Mathematical Science.
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Max Tegmark – Intelligible Intelligence & Beneficial Intelligence

Max Tegmark - Intelligible Intelligence & Beneficial Intelligence
Recorded July 18th, 2018 at IJCAI-ECAI-18

Max Tegmark is a Professor doing physics and AI research at MIT, and advocates for positive use of technology as President of the Future of Life Institute. He is the author of over 200 publications as well as the New York Times bestsellers “Life 3.0: Being Human in the Age of Artificial Intelligence” and “Our Mathematical Universe: My Quest for the Ultimate Nature of Reality”. His work with the Sloan Digital Sky Survey on galaxy clustering shared the first prize in Science magazine’s “Breakthrough of the Year: 2003.”
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Machine Learning for Pricing & Auctions – Tutorial ICML2018

Machine Learning for Pricing & Auctions - Tutorial ICML2018
Recorded July 10th, 2018
This tutorial Machine Learning in Automated Mechanism Design for Pricing and Auctions will cover the rapidly growing area of automated mechanism design for revenue maximization.

Presented by Nina Balcan (CMU), Tuomas Sandholm (CMU) and Ellen Vitercik (CMU)
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