Benjamin Eysenbach

Assistant Professor of Computer Science

Research interests: Reinforcement learning, machine learning.

Engineering Quadrangle

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

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