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Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 18: RL Policy Optimization
jeudi 29 octobre 2026 • Durée 01:27:02
Lecture 18 — Model-free Reinforcement Learning: Policy OptimizationRead the companion textbook, Principles of Robot Autonomy, free online: https://porabook.com To learn more about enrolling in AA203 Optimal and Learning-Based Control, visit: https://online.stanford.edu/courses/aa203-optimal-and-learning-based-control Follow along with the course schedule and syllabus: https://stanfordasl.github.io/aa203/sp2526/ Lecture slides: https://stanfordasl.github.io/aa203/sp2526/pdfs/lecture/lecture_4.pdf Speaker: Dr. Daniele GammelliBio: Dr. Daniele Gammelli is the Research Director of the Machine Intelligence for Robot Autonomy Laboratory at the Italian Institute of Artificial Intelligence (AI4I), and a Researcher in the Department of Aeronautics and Astronautics at Stanford University. Since 2022, he has been a Research Fellow at the Center for Aerospace Autonomy Research (CAESAR) at Stanford and, until 2025, at the Center for Automotive Research at Stanford (CARS). He received his Ph.D. in Machine Learning and Mathematical Optimization from the Technical University of Denmark (DTU) in 2022, where his doctoral thesis was nominated for the DTU Best Thesis of the Year Award and the DTU Young Researcher Award. Dr. Gammelli’s research focuses on developing the algorithmic foundations and system-level methodologies that enable AI-powered autonomous systems to operate safely, efficiently, and reliably in high-stakes environments, with an emphasis on aerospace autonomy and next-generation mobility systems.Uploaded 13-08-26Instructors: Prof. Marco Pavone, Associate Professor of Aeronautics and Astronautics, Director of Autonomous Vehicle Research at NVIDIADr. Daniele Gammelli, Research Director at the Italian Institute of Artificial Intelligence (AI4I), Researcher at the Department of Aeronautics and Astronautics, Stanford UniversityFull playlist: https://www.youtube.com/playlist?list=PLa9dmHsLK9dg#StanfordOnline #OptimalControl #Robotics #PhysicalAI
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Professor Tom Byers on the Stanford Executive Institute
jeudi 29 octobre 2026 • Durée 07:11
http://www.techamerica.org/stanford-executive-institute - The Stanford Executive Institute has a proven track record of teaching tools and approaches to prepare the technology industry's senior leadership to face the sector's unique set of challenges. In this video, Tom Byers, professor in Stanford's Management Science and Engineering Dept and Academic Director of The Stanford Executive Institute, discusses how this program gives you the tools to be a leader in your enterprise.Uploaded 23-03-11
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Stanford Faculty - Meet Peter DeMarzo
jeudi 29 octobre 2026 • Durée 04:31
Peter DeMarzo is the Mizuho Financial Group Professor of Finance, and currently Senior Associate Dean for Academic Affairs, at the Stanford Graduate School of Business. He earned his BA in cognitive science and applied mathematics from the University of California, San Diego, and his MS in operations research and PhD in economics from Stanford University.Uploaded 17-07-13In addition to his experience at the Stanford Graduate School of Business, he has taught at the Haas School of Business and the Kellogg Graduate School of Management and was a visiting scholar at the Hoover Institution. He is a member of the National Bureau of Economic Research and past president of the Western Finance Association. His research is in the area of corporate finance, asset securitization, financial contracting, and market regulation. Recent work has examined issues of the optimal design of securities, optimal compensation mechanisms, regulation of insider trading and broker-dealers, bank capital regulation, and the influence of information asymmetries on corporate disclosures and investment.Peter's research has received awards including the Barclays Global Investors/Michael Brennan best paper award from the Review of Financial Studies, and the Western Finance Association Corporate Finance Award. He won the Sloan Teaching Excellence award in 2004 and 2006, and the Cheit Outstanding Teaching Award in 1998. He is co-author of a leading corporate finance textbook, and currently teaches MBA and PhD courses in Corporate Finance and Financial Modeling.Peter teaches Financing Innovation: Valuing Projects and Firms, an online course in the Stanford Innovation and Entrepreneurship professional certificate - http://create.stanford.edu/courses/financing-innovation.php
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Webinar: AI Agent Simulation of Human Behavior with Michael Bernstein
jeudi 29 octobre 2026 • Durée 01:07:14
- Explore these concepts and more in the UI/UX Design for AI Products course: https://bit.ly/stf-aid-webinar- Learn how to build intelligent AI agents: https://online.stanford.edu/programs/agentic-ai- Browse all Stanford Online AI courses: https://online.stanford.edu/artificial-intelligence/courses-and-programsUploaded 29-09-26What happens when AI agents are designed to simulate human behavior?In this Stanford Online webinar delivered in collaboration with Global Alumni, Professor Michael Bernstein explores the emerging possibilities of AI agents and their ability to model, interact with, and simulate aspects of human behavior. The session offers a closer look at how advances in artificial intelligence are changing the way we think about human-AI interaction, simulation, and the design of intelligent systems.Drawing on Stanford research in human-AI interaction and social computing, Professor Bernstein examines the opportunities and challenges that arise as AI systems become increasingly capable of representing human behaviors and interactions.
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For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/aiFor information on the graduate course, CS229 Machine Learning, including the syllabus and course materials, visit the course's website: https://cs229.stanford.edu/index.html-spr26Uploaded 29-07-26Teaching Team:Chris Ré, Professor of Computer ScienceTengyu Ma, Assistant Professor of Computer Science
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Program Overview: Welcome to Product Management
mercredi 28 octobre 2026 • Durée 03:47
Uploaded 30-09-26
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Global Product Design - Stanford Center for Professional Development
mercredi 28 octobre 2026 • Durée 59:32
The game is changing. Products from the West used to be inherently desirable and localization was adequate to capture market share, but these days are gone and organizations are increasingly designing for a new global landscape with different requirements and expectations. In this webinar, you'll learn about models for global design and some of the key challenges and opportunities in this new and exciting space.Uploaded 08-04-11Learn more about professional programs offered by the Stanford Center for Professional Development by visiting http://scpd.stanford.edu/programs/professional-certificates.
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Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 2: Optimization Theory
mercredi 28 octobre 2026 • Durée 01:25:46
Lecture 2 — Optimization TheoryRead the companion textbook, Principles of Robot Autonomy, free online: https://porabook.com To learn more about enrolling in AA203 Optimal and Learning-Based Control, visit: https://online.stanford.edu/courses/aa203-optimal-and-learning-based-control Follow along with the course schedule and syllabus: https://stanfordasl.github.io/aa203/sp2526/ Lecture slides: https://stanfordasl.github.io/aa203/sp2526/pdfs/lecture/lecture_2.pdf Speaker: Prof. Marco PavoneBio: Dr. Marco Pavone is an Associate Professor of Aeronautics and Astronautics at Stanford University and a Senior Director of Autonomous Vehicle Research at NVIDIA. Prior to joining Stanford, he was a Research Technologist in the Robotics Section at NASA’s Jet Propulsion Laboratory. Dr. Pavone received his Ph.D. in Aeronautics and Astronautics from the Massachusetts Institute of Technology in 2010. His research focuses on the analysis, design, and control of autonomous systems, with particular emphasis on self-driving cars, autonomous aerospace vehicles, and future mobility systems. He has been recognized with numerous awards, including the Presidential Early Career Award for Scientists and Engineers from President Barack Obama, the Office of Naval Research Young Investigator Award, the NSF CAREER Award, the NASA Early Career Faculty Award, the IEEE Kiyo Tomiyasu Award, the CSS Award for Technical Excellence in Aerospace Control, and the Early-Career Spotlight Award from the Robotics Science and Systems Foundation.Uploaded 11-08-26Instructors: Prof. Marco Pavone, Associate Professor of Aeronautics and Astronautics, Director of Autonomous Vehicle Research at NVIDIADr. Daniele Gammelli, Research Director at the Italian Institute of Artificial Intelligence (AI4I), Researcher at the Department of Aeronautics and Astronautics, Stanford UniversityFull playlist: https://www.youtube.com/playlist?list=PLa9dmHsLK9dg#StanfordOnline #OptimalControl #Robotics #PhysicalAI
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Stanford Faculty - Meet Perry Klebahn
mercredi 28 octobre 2026 • Durée 07:09
http://scpd.stanford.edu/innovation-and-entrepreneurship/Perry Klebahn is an entrepreneur to the core. He received his Masters from Stanford in the product design program in 1991 and has taught there periodically since 1996. He left Stanford with his degree and his design project -- a snowshoe. He turned his project into a business, creating the Atlas Snowshoe Company. His experience taught him several things: you can't do anything significant on your own, you need a team; and engineering something is not nearly as much fun as marketing what you have engineered. In 2000, Perry sold his snowshoe business and moved to Southern California to run sales and marketing for Patagonia, an outdoor clothing brand. There, he got a chance to market on a global scale, learning to balance the need to drive sales while building a brand with important commitments and a sustainability message. In 2007 he took on a new challenge at Timbuk2, the original bike messenger bag company. As CEO of the San Francisco-based company, Perry focused on delivering custom products and an innovative customer experience. He implemented many techniques used at the d.school at Timbuk2. A founding faculty member of the d.school, Perry teaches classes including: Launchpad, Design Garage, d.Health, and d.leadership. He runs the executive programs for the d.school.Uploaded 27-09-12Professor Klebahn teaches in the Stanford Innovation and Entrepreneurship professional certificate program. This certificate delivers essential skills and effective strategies for working in and managing innovative organizations - and for starting new ones. Designed to engage and inspire, be prepared to get out of your chair and use your whole brain, because creativity and innovation take practice. A joint offering of the Stanford Center for Professional Development at the School of Engineering and the Stanford Graduate School of Business. Learn more: http://scpd.stanford.edu/innovation-and-entrepreneurship/Apply now: http://bit.ly/SoKSVl
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Webinar: What AI Can and Cannot Do: Intelligence Augmentation in Practice with Michael Bernstein
mercredi 28 octobre 2026 • Durée 01:06:18
- Explore these concepts in the AI-Powered Product Innovation course: https://bit.ly/pin-stf-webinar- Learn how to build intelligent AI agents: https://online.stanford.edu/programs/agentic-ai- Browse all Stanford Online AI courses: https://online.stanford.edu/artificial-intelligence/courses-and-programsUploaded 30-09-26Artificial intelligence is transforming how organizations approach problem-solving, decision-making, and innovation—but knowing where AI can create reliable value is just as important as knowing where it cannot.In this Stanford Online webinar delivered in collaboration with Global Alumni, Professor Michael Bernstein explores the practical realities of AI adoption and the role of human judgment in an increasingly AI-enabled workplace. The session examines how to distinguish between problems AI can solve reliably and those that continue to require human expertise, judgment, and oversight.Drawing on research and practical frameworks for human-AI interaction, Professor Bernstein explores how leaders and professionals can evaluate AI opportunities more thoughtfully, assess potential risks, and determine where AI can genuinely augment human capabilities.
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