Why Choose Model-Based Reinforcement Learning?
From the series: Reinforcement Learning
What is the difference between model-free and model-based reinforcement learning? Explore the differences and results as the learning models are applied to balancing a cart/pole system as an example. By the end, you will have a better understanding of situations where you may want to choose one method over the other.
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