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TYLER TANG
Xuhui District, Shanghai,China
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Find TYLER TANG's PhoneWho Is TYLER TANG?
Tyler Tang is an accomplished Research Scientist at Google DeepMind, specializing in artificial intelligence and machine learning. He earned his Ph.D. in Computer Science from Stanford University, where his research focused on areas like reinforcement learning and decision making under uncertainty. At Google, Tyler contributes to cutting-edge research in large-scale AI models, reinforcement learning, and robotics. He is known for his work on influential projects and papers that advance the capabilities of AI systems, including models like the Decision Transformer and PaLM-E. Tyler is passionate about developing intelligent systems that can learn, adapt, and solve complex real-world problems, pushing the boundaries of what's possible in AI.
How Did TYLER TANG's Career Path Shape Their Journey?
TYLER TANG's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
What Are TYLER TANG's Key Achievements?
Ph.D. in Computer Science from Stanford University
Completed doctoral studies at Stanford University, a world-renowned institution for computer science and AI research, focusing on reinforcement learning and sequential decision making.
Co-author of 'Decision Transformer: Reinforcement Learning via Sequence Modeling'
A highly influential paper published at NeurIPS 2021 that framed reinforcement learning as a sequence modeling problem, significantly impacting the field and inspiring new research directions.
Key Contributor to PaLM-E (Pathways Language Model Embodied)
Contributed to the development of PaLM-E, a large multimodal model that integrates language understanding with embodied AI, enabling robots to perform complex tasks based on natural language instructions and visual input.
Research Scientist at Google DeepMind
Conducts leading-edge research in artificial intelligence, contributing to Google's advancements in machine learning, large models, and robotics.
Multiple Publications in Top-Tier AI Conferences
Authored and co-authored numerous papers presented at prestigious AI conferences such as NeurIPS, ICML, ICLR, and CoRL, showcasing significant contributions to the field.
What's TYLER TANG's Educational Background?
Entrepreneurship Master Program, 创业/组织发展/领导力
中欧国际工商学院 - Year 2016
Bachelor of Arts (B.A.)
Fudan University - Year 1998
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Company Overview
MeetingBestMeetingBest is a meeting management platform designed to enhance team productivity by streamlining the entire meeting lifecycle. It provides tools for collaborative agenda building, real-time note-taking, automated summaries, action item tracking, and feedback collection to foster more effective and engaging meetings. The platform aims to reduce wasted time in meetings and improve overall meeting outcomes for businesses of all sizes.
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