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DTSTART;TZID=America/Edmonton:20210326T080000
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DTSTAMP:20210316T034950Z
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UID:15442-1616745600-1616950800@futurecite.com
SUMMARY:Space Settlement Entrepreneur - SSEC Competition
DESCRIPTION:About this Event\n\n\nAudience: High-school and Undergraduate-college students \nThe SSEC is an online (virtual) competition for high-school and undergraduate-college students\, interested in the future of space technology and entrepreneurship. Over the course of this 3-5 day online competition event\, students will develop a space-industry start-up company that meets the needs of a newly-designed space settlement (2020’s competition description- https://bit.ly/SSDCIntro). \nStudents will learn about: the entrepreneurial mindset\, marketing\, problem and solution ideation\, business models\, prototyping\, investor pitch decks\, and the all-important elevator pitch. \nDates: Sat\, Mar 20\, 2021\, 1:00 PM – to Sun\, Mar 28\, 2021\, 5:00 PM MDT \nAGENDA (see Tentative agenda at https://www.STEME.org/ssec) \nSaturday\, March 20 \n2:00 PM CST 1. Introduction to Entrepreneurship \n3:00 PM CST 2. [RESEARCH] Landscape of the Space Industry and SSDC \n4:00 PM CST 3. Introduction to SSDC & Problem Spaces (Request for Proposal) \nSunday\, March 21\, 2021 \n2:00 PM CST 4. Introduction to the Pitch Deck & Judges’ Rubric \n2:15 PM CST 5. Assessing a Problem \n3:15 PM CST 6. Developing a Solution \n4:00 PM CST 7. Prototyping \n4:30 PM CST 8. Introduction to Marketing & Customer Proposal & Sales Pitch \nThursday\, March 25\, 2021 \n5:00PM CST SSDC Kick-Off & Training \nFriday\, March 26\, 2021 \n5:00 PM CST 9. Business Model Canvas \n6:30 PM CST 10. Market Research: Customer Needs and Interviews & Meetings \n7:00 PM CST 11. Investor Pitch Deck\, Elevator Pitch\, & Presentation Skills \nSaturday\, March 27\, 2021 \n1:00 PM CST SSDC Panel & Company Pitches \n1:30 PM CST SSDC Company Meetings \nSunday\, March 28\, 2021 \n9:30 AM CST SSDC Company Presentations \n1:00 PM CST SSEC Final Pitch Presentation and Judging \n4:00 PM CST SSDC & SSEC Winners announced \nPricing: $50 (online/virtual competition) \n$40 Early-Bird Pricing \nWITH FULL SCHOLARSHIP OPTIONS! \nFor the most up-to-date information\, visit: www.STEME.org/ssec \nIf you are in FINANCIAL NEED and cannot afford to attend but wish to attend\, we urge you to apply for our Scholarship ($50 value): https://bit.ly/SSECScholarship1
URL:https://futurecite.com/event/space-settlement-entrepreneur-ssec-competition/
LOCATION:Virtual Online
CATEGORIES:AI / ML / Data Science,Career Opportunities,Competition,Conference,Entrepreneurs,Human Talent,Industry,Innovation,Learning,Pitch Competition,Robotics,Science,Small Business,Social Innovation,Space Exploration,Startups,Sustainability,Technology,Travel
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DTSTART;TZID=America/Edmonton:20210326T120000
DTEND;TZID=America/Edmonton:20210326T130000
DTSTAMP:20210316T235525Z
CREATED:20210316T235525Z
LAST-MODIFIED:20210316T235525Z
UID:15465-1616760000-1616763600@futurecite.com
SUMMARY:AMII AI Seminars: Two-player\, Zero-sum games
DESCRIPTION:Amii researcher at the University of Alberta Dustin Morrill presents “Hindsight Rationality and Efficient Deviation Types in Extensive-Form Games”. In this talk\, he suggests to field learning algorithms that ensure strong performance in hindsight relative to “deviations” (pre-defined behaviour modifications) in two-player\, zero-sum games. \nAbstract: A successful approach to playing two-player\, zero-sum games has been to deploy a static artifact resembling a Nash equilibrium\, which has led work in artificial intelligence to focus on computing such artifacts. This approach is less sound and has been less successful in multi-player\, general-sum games. We suggest instead to field learning algorithms that ensure strong performance in hindsight relative to “deviations”\, i.e.\, pre-defined behavior modifications. A society of such “hindsight rational” agents converges toward mediated equilibrium\, a traditional notion of equilibrium based on average correlated play rather than factored behavior\, in contrast to Nash equilibrium. We re-examine deviation types and mediated equilibria in extensive-form games to gain a more complete understanding and resolve past misconceptions. We introduce a new deviation type that has implicitly formed the basis for the counterfactual regret minimization (CFR) algorithm. We generalize CFR to the extensive-form regret minimization (EFR) algorithm that is hindsight rational for any given deviation type within a broad and natural class. This class contains powerful new deviation types that are efficient to use in games with moderate lengths. We present an empirical analysis of EFR’s performance with different deviation types in common benchmark games\, showing that stronger deviation types typically impart better performance\, even in two-player\, zero-sum games. \nPresenter Bio: Dustin is a Ph.D. candidate at the University of Alberta and the Alberta Machine Intelligence Institute (Amii) working with Professor Michael Bowling. He works on multi-agent learning and scaleable\, dependable learning algorithms. He is a coauthor of [DeepStack] and he created [Cepheus’s public match interface]. He completed a B.Sc. and M.Sc. in computing science at the University of Alberta where his M.Sc was also supervised by Michael Bowling. As an undergraduate\, he worked with the Computer Poker Research Group (CPRG) to create an [open-source web interface to play against poker bots] and to develop the 1st-place 3-player Kuhn poker entry in the 2014 Annual Computer Poker Competition (ACPC).
URL:https://futurecite.com/event/amii-ai-seminars-two-player-zero-sum-games/
LOCATION:Virtual Online
CATEGORIES:AI / ML / Data Science,Education,Entrepreneurs,Human Talent,Innovation,Learning,Research,Students,Technology,Webinar
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