2019
DOI: 10.31219/osf.io/dz6sx
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Reinforcement Learning

Abstract: Reinforcement Learning (RL) is one of the model free machine learning algorithms where the agent learns its behaviours from the environment by actually interacting with it. This is better than the offline planner because the agent actually interacts with the environment to learn its behaviours because it is almost impossible to simulate a real world in a computer. By using the reinforcement learning, the agent learns those extra features which can only be learned in an real world environment hence giving it a … Show more

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