Toward a Universal Framework for Sequential Decision Problems

[INFORMS Data Mining Society] Sequential decision problems are an almost universal problem class, spanning dynamic resource allocation problems, control problems, optimal stopping/buy-sell problems, active learning problems, as well as two-agent games and multiagent problems. Application settings span engineering, the sciences, transportation, health services, medical decision making, energy, e-commerce and finance, but in this talk I will emphasize applications in transportation and logistics. For more information please visit: https://connect.informs.org/data-mining/events/recentcommunityeventsdashboard Speaker: Warren B Powell, CASTLE Lab ⭐️Join INFORMS: https://bit.ly/3BkR66X ⭐️YouTube channel: https://bit.ly/3zeAsEl Social Media: ➡️Instagram: https://www.instagram.com/informs_orms/ ➡️Twitter: https://twitter.com/INFORMS/ ➡️LinkedIn: https://www.linkedin.com/company/info... ➡️Facebook: https://www.facebook.com/INFORMSpage/