Reinforcement Learning Discussion
Edward discusses the benefits and challenges of Reinforcement Learning compared to preference-based methods. Tim shares insights on when RLHF might be more suitable, emphasizing the importance of stable signals and scalability in data acquisition.In this clip
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Machine Learning Street Talk (MLST)
#103 - Prof. Edward Grefenstette - Language, Semantics, Philosophy
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