Lecture
Data-driven Reinforcement Learning
Description
This lecture by the instructor covers the challenges faced by existing AI systems, the shortcomings of supervised learning, and the need for data-driven methods in reinforcement learning. The lecture emphasizes the importance of robust algorithms that can efficiently learn from experiential data to apply to real-world scenarios and scientific domains.
Official source
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