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Multidisciplinary research driving advances in materials science and photonics

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Search for:

Benjamin

Eysenbach

Assistant Professor of Computer Science

Website

Email

609-258-8592

Research interests: Reinforcement learning, machine learning.

Related News

Two simulated robots move a green block to a blue box — By eliminating feedback, researchers at Princeton have found a reinforcement learning approach that encourages AI agents to explore. Using this strategy, the robots found various ways to complete the assigned tasks. Video courtesy of the researchers

Without feedback, AI systems learn to explore

Affiliations

Computer Science

Leading the field through foundational theory, applications, and societal impact

School of Engineering & Applied Science

School of Engineering and Applied Science

Princeton, New Jersey 08544

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Diversity and Non-Discrimination

Princeton University is committed to equal opportunity and non-discrimination. To maximize excellence, we seek talent from all segments of American society and the world, and we take steps to ensure everyone at Princeton can thrive while they are here. That is the sole rationale and purpose of our diversity and inclusion programs, all of which are voluntary and open to all, and which comply with federal and state non-discrimination laws. Princeton does not discriminate on the basis of race, sex, ethnicity, color, national origin, religion, disability, or any other protected characteristic, and Princeton does not provide special benefits or preferential treatment on the basis of a protected characteristic.

Princeton, New Jersey 08544 United States

Operator: (609) 258-3000

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Benjamin Eysenbach

Assistant Professor of Computer Science

Without feedback, AI systems learn to explore

Computer Science

Engineering Newsletter Signup

Benjamin

Eysenbach