Benjamin Eysenbach

Assistant Professor of Computer Science

Research interests: Reinforcement learning, machine learning.

Three women stand together; the woman in the center is holding an award plaque. — Engineering students recognized outstanding educators at the annual Teaching Awards ceremony. Here, award recipient Megan Thies (center), a graduate student in chemical and biological engineering, poses with undergraduate engineering council members Ella Afshari (left) and Jessica Wang (right). Photos by Tori Repp/Fotobuddy

Annual teaching awards recognize passion, dedication and lasting impact

Graphic with text "Commendation for Outstanding Teaching".

Faculty commended for outstanding teaching

Four from Engineering win Sloan Fellowships

Junior faculty awards recognize excellence in research and teaching

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

Computer Science

Computer Science

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