Upside-Down Reinforcement Learning with Jürgen Schmidhuber - #357
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Unlocking Reinforcement Learning
This chapter explores the nuances of reinforcement learning, emphasizing the adaptation of commands based on received rewards to enhance learning. It introduces the concept of upside-down reinforcement learning within a supervised framework, showcasing methods for binary supervision and the potential for improved outcomes through deep learning.
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