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Nathan Lambert

Research Scientist at AI2
Nathan Lambert is a machine learning researcher with expertise in reinforcement learning, ethical AI, and robotics. He completed his PhD at the University of California, Berkeley, where he studied the intersection of robotics and machine learning. Lambert has made significant contributions to the field of AI through his work at HuggingFace, where he played a crucial role in bootstrapping the Reinforcement Learning from Human Feedback (RLHF) team. He moved from HuggingFace to the Allen Institute for AI (AI2), where he...

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Trends in Reinforcement Learning and RLHF

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1. Foundations of Reinforcement Learning
2. Advancing RLHF: Models, Costs, and Theories