Reinforcement learning (RL) is a subset of Machine Learning that uses dynamic data, not static data like unsupervised learning or supervised learning. Reinforcement learning is used in many different applications, such as training computer programs to perform certain tasks to autonomous vehicles. It is also used in control systems. This post shows how to use the Reinforcement Learning Toolbox™ by MathWorks to balance the pendulum of a Quanser QUBE-Servo 2.
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