Lecture
Risk Minimization from Adaptively Collected Data
Description
This lecture covers risk minimization from adaptively collected data with guarantees for policy learning, focusing on adaptive experiments, sequential observations, and the importance of exploration strategies. The instructor discusses the key concepts, such as E-greedy exploration, martingale difference sequence, and the theoretical foundations behind policy learning.
Official source
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