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Benjamin Eysenbach

Photo of Benjamin Eysenbach
Assistant Professor
Ph.D., Carnegie Mellon University, 2023
eysenbach  (@cs.princeton.edu) (609) 258-8592 416 Computer Science


Interests: reinforcement learning, machine learning

Research Areas:

Short Bio

Eysenbach joined the Princeton faculty in 2023. His research aims to develop principled reinforcement learning algorithms that obtain state-of-the-art performance with a higher degree of simplicity, scalability, and robustness than current methods. Much of his work uses ideas for probabilistic inference to make progress on a important problems in reinforcement learning (e.g., long-horizon and high-dimensional reasoning, robustness, exploration).

He completed a Ph.D. in machine learning at Carnegie Mellon University and spent a number of years at Google Brain/Research before and during his doctoral work. He has an undergraduate degree in mathematics from MIT. 

Selected Publications

More information is available here

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