Neural Ordinary Differential Equations with David Duvenaud - #364
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Hybrid Learning Strategies in Machine Learning
This chapter examines integrating algorithms like Monte Carlo Tree Search with machine learning for improved decision-making. It highlights the importance of combining learned policies and exploration, while also discussing automation in training neural networks related to step-size selection. The conversation explores convergence challenges and strategies to optimize performance, addressing the balance between exploration and exploitation in adaptive methods.
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