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Eye On A.I. — Why AI Goes Rogue: Turing Award Winner Explains Reward Failure | Andrew Barto
Scout ratingSCOUT· 36%43m·2026-11-06·Technology

Why AI Goes Rogue: Turing Award Winner Explains Reward Failure | Andrew Barto

Eye On A.I. · 391

Andrew Barto on Rewards Gone Rogue Andrew Barto helped found reinforcement learning. He and Richard Sutton wrote the field's standard textbook, and they shared the Turing Award for that work. Reinforcement learning now trains today's reasoning models and AI agents. It also sits behind some of their strangest behavior,…

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What people are saying

“@ 39:30 I wonder if this intra-agent (adaptive control system) has anything to do with the application of the Widrow-Hoff LMS loss function using radial basis functions (as Fuzzy membership functions) on eligibility traces. If you watch som…”

— @SapienSpaceUnedited · YouTube comment

“@ 22:30 I think the word that Dr. Barto is missing is the internal (dynamic, learnable, geomtric) map of the "agent" (though I call it an adaptive control system). The environment tells the state classifier where it is on the classification…”

— @SapienSpaceUnedited · YouTube comment

“@ 24:10 I am guessing, but I think Dr. Barto is describing the adaptive control compensator that compensates the fuzzy, adaptive controller, in real time using as a system identification (This is a derivation of Sastry & Bodson's adaptive s…”

— @SapienSpaceUnedited · YouTube comment

“@ 30:20 That is a very interesting paper that says "Taken together, these findings can be understood through quantitative theories of adaptive optimizing control."”

— @SapienSpaceUnedited · YouTube comment

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