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Understanding Reinforcement Learning with Neural Networks Part 1: Learning Without Correct Answers

DEV Community·Rijul Rajesh·24 days ago
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In this article, we will explore reinforcement learning with neural networks . Let’s start with a simple example. Choosing Between Two Snack Places Suppose it is snack time, and you have to choose between Place A and Place B for fries. To make a good decision, we also need to consider how hungry we are . Some days we may be very hungry, while on other days we may only want a small snack. We also need to consider how many fries each place might serve. For example: Place B might give a large quantity of fries , which would be great if we were very hungry But if we were not that hungry, getting too many fries might not be ideal Similarly: Getting a small amount of fries would not be good if we were extremely hungry But it could be perfectly fine if we only wanted a light snack So, it would be useful to have a system that helps decide which place to choose based on: our hunger level the possible quantity of fries we might receive Using a Neural Network To solve this problem, we will use a neural network .…

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