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Falcon Dai

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About

Falcon Dai is an individual passionate about exploring and creating innovations in artificial intelligence. With a background in mathematics and physics from the University of Chicago, and currently a PhD candidate focusing on reinforcement learning at TTI-Chicago, Falcon Dai engages in research interests including the foundations of reinforcement learning, language modeling, robotics, and the social implications of machine learning technologies. The individual has contributed to various publications in leading conferences and journals, and is involved in ongoing research that seeks to enhance understanding and application of AI in both theoretical and practical scenarios.

Platform

Keywords

machine learning reinforcement learning ai research robotics language modeling

Task

Features

• reinforcement learning

• 3d computer vision

• robotics

• language modeling

• social implications of ai

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Mobile Apps

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