Person

Brian Ziebart

Representative recognition history, related topics, and linked award coverage for Brian Ziebart in the public atlas sample.

1award programs

2024–2024sample range

1sample events

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Awards

AAAI Classic Paper

This page aggregates the award programs currently associated with this person in the atlas sample and links them back into the broader timeline explorer.

Topics

artificial intelligence decision making reinforcement learning

Representative timeline

Recognitions and related works

AAAI Classic Paper

Maximum entropy inverse reinforcement learning

2024

Co-honorees: Brian Ziebart, Andrew Maas, J. Andrew Bagnell, Anind K. Dey

Revisits a paper that made entropy-regularized inverse reinforcement learning a lasting tool for imitation, planning, and alignment-style research.

Program-level source: Official awards page / index (not a year-specific citation)

2020sartificial intelligencereinforcement learningdecision making

Related work / context

Maximum Entropy Inverse Reinforcement Learning (paper, 2008, canonical)