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When AI runs into something new, like a changed rule, a missing sensor, or the unique you, it must recognize that surprise and adjust, while learning from your feedback to keep improving and stay in sync with your creative goals.
Check out my research to see how AI spots these challenges, listens to your voice, and continually gets smarter together with you.
Rishav Bhagat, Jonathan Balloch, Zhiyu Lin, Julia Kim, Mark Riedl
Collaboration with GTRI.
How should an AI learn how to find "Point of Interest" in a changing environment so that it can learn to actively explore them and best improve its knowledge and adapt to the changes?
Jonathan Balloch, Zhiyu Lin, Robert Wright, Xiangyu Peng, Mustafa Hussain, Aarun Srinivas, Julia Kim, Mark Riedl
A symbolic world model that helps neural model to learn better by imagining the future!
Jonathan Balloch, Zhiyu Lin, Mustafa Hussain, Aarun Srinivas, Robert Wright, Xiangyu Peng, Julia Kim, Mark Riedl
Oral at AAAI 2022 Spring Symposium Series
Novgrid makes studying novelties modular and streamlined!
Zhiyu Lin, Brent Harrison, Aaron Keech, Mark O Riedl
This Reinforcement Learning agent knows both how to learn from rewards and seek for human feedback - only when needed!
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