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  • AI Series #2: AT that Learns from Rewards and Punishments ( )

AI Series #2: AT that Learns from Rewards and Punishments ( )

  • Thu, November 09, 2023
  • 2:00 PM - 4:00 PM
  • Virtual
  • 300



This is the second in a two-part series on AI.  Join us for a discussion toward a better understanding of AI by Assistant Professor Josiah Hannah.   More details to follow.

Josiah Hanna is an assistant professor in the Computer Sciences Department at the University of Wisconsin -- Madison. He received his Ph.D. in the Computer Science Department at the University of Texas at Austin. Prior to attending UT Austin, he completed his B.S. in computer science and mathematics at the University of Kentucky. Before joining UW--Madison, he was a post-doc at the University of Edinburgh and also spent time at FiveAI working on autonomous driving. Hanna is a recipient of the NSF Graduate Research Fellowship and the IBM Ph.D. Fellowship. His research interests lie in artificial intelligence and machine learning, seeking to develop algorithms that allow autonomous agents to learn (efficiently) from experience. In particular, Hanna studies reinforcement learning and methods to increase the data efficiency of reinforcement learning algorithms.

If you have preliminary questions for the speaker, please send to Program Coordinator Millard Susman at by Wednesday, November 1.

Food Pantry Contributions:

Checks payable to UW-Foundation, with "Open Seat" on the memo line may be mailed to UWRA, 21 North Park Street, Room 7205, Madison, WI 53715-1218.

Registration Deadline:  Friday, November 3


Advance registration is required.  You are encouraged to register online.  To register by phone or email, call the Association office. If you or your guest registered for this seminar but cannot attend, please cancel your registration online, or email/call the UWRA office.

NOTE:  The weblink and virtual call information will be included in the meeting reminders registrants receive.

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