What Is Reinforcement Learning
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What Is Reinforcement Learning
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Reinforcement Learning Part 1 A Brief Introduction By Dan Lee AI Theory Practice
T e Reinforcement learning RL is an area of machine learning concerned with how intelligent agents ought to take actions in an environment in order to maximize the notion of cumulative reward Reinforcement learning is one of three basic machine learning paradigms alongside supervised learning and unsupervised learning Reinforcement learning (RL) is a machine learning (ML) technique that trains software to make decisions to achieve the most optimal results. It mimics the trial-and-error learning process that humans use to achieve their goals. Software actions that work towards your goal are reinforced, while actions that detract from the goal are ignored.
What Is Reinforcement Learning MATLAB Simulink
What Is Reinforcement LearningReinforcement learning is a machine learning training method based on rewarding desired behaviors and punishing undesired ones. In general, a reinforcement learning agent -- the entity being trained -- is able to perceive and interpret its environment, take actions and learn through trial and error. Reinforcement Learning RL is the science of decision making It is about learning the optimal behavior in an environment to obtain maximum reward This optimal behavior is learned through interactions with the environment and observations of how it responds similar to children exploring the world around them and learning the actions that
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