Reinforcement Learning

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What does Reinforcement Learning RL mean? Reinforcement learning in the context of artificial intelligence is a type of dynamic programming that trains algorithms using a system of reward and punishment. Reinforcement learning is a goaldirected computational approach where a computer learns to perform a task by interacting with an uncertain dynamic . 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 a very general framework for learning sequential decision making tasks.

Sutton Reinforcement Learning,Sutton Barto Reinforcement Learning

With the advancements in Robotics Arm Manipulation Google Deep Mind beating a professional Alpha Go Player and recently the OpenAI team. What is Reinforcement Learning? Put simply reinforcement learning is a machine learning technique that involves training an artificial intelligence agent through the repetition of actions and associated rewards. Automated driving Making driving decisions based on camera input is an area where reinforcement learning is suitable considering the success of deep neural networks in image applications. When we say a computer agent we refer to a program that acts on its own or on behalf of a user autonomously. Barto c 2014 2015. This was the idea of a hedonistic learning system or as we would say now the idea of reinforcement learning. It does not . And Deep Learning on the other hand is of course the best . Platform Coursera. Reinforcement learning in formal terms is a method of machine learning wherein the software agent learns to perform certain actions in an environment which lead it to maximum reward. This episode gives a general introduction into the field of Reinforcement Learning High level description of the field Policy gradients Biggest challenge. Reinforcement Learning is a type of learning methodology in ML along with supervised and unsupervised learning. Reinforcement learning is the training of machine learning models to make a sequence of decisions.