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Hands-On Machine Learning with C# by Matt R. Cole

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Overviewing reinforcement learning

As mentioned in Chapter 1, Machine Learning Basics, reinforcement learning is a case where the machine is trained for a specific outcome with the sole purpose of maximizing efficiency and/or performance. The algorithm is rewarded for making correct decisions and penalized for making incorrect ones, as shown in the following diagram:

Continual training is used to constantly improve performance. The focus here is on performance, meaning somehow finding a balance between unseen data and what the algorithms have already learned. The algorithm applies an action to its environment, receives a reward or a penalty ...

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