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Reinforcement Learning - Principles, Concepts and Applications

Bhavatarini N
4.9/5 (25316 ratings)
Description:Reinforcement learning (RL) is a subfield of machine learning that deals with how an agent should learn to take actions in an environment to maximize some notion of cumulative reward. In other words, reinforcement learning is a learning paradigm where an agent learns to interact with an environment by taking actions and observing the feedback it receives in the form of rewards or penalties. It is a feedback-based Machine learning technique in which an agent learns to behave in an environment by performing the actions and seeing the results of actions. For each good action, the agent gets positive feedback, and for each bad action, the agent gets negative feedback or penalty.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Reinforcement Learning - Principles, Concepts and Applications. To get started finding Reinforcement Learning - Principles, Concepts and Applications, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
144
Format
PDF, EPUB & Kindle Edition
Publisher
MileStone Research Publications
Release
2024
ISBN
9789360130084

Reinforcement Learning - Principles, Concepts and Applications

Bhavatarini N
4.4/5 (1290744 ratings)
Description: Reinforcement learning (RL) is a subfield of machine learning that deals with how an agent should learn to take actions in an environment to maximize some notion of cumulative reward. In other words, reinforcement learning is a learning paradigm where an agent learns to interact with an environment by taking actions and observing the feedback it receives in the form of rewards or penalties. It is a feedback-based Machine learning technique in which an agent learns to behave in an environment by performing the actions and seeing the results of actions. For each good action, the agent gets positive feedback, and for each bad action, the agent gets negative feedback or penalty.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Reinforcement Learning - Principles, Concepts and Applications. To get started finding Reinforcement Learning - Principles, Concepts and Applications, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
144
Format
PDF, EPUB & Kindle Edition
Publisher
MileStone Research Publications
Release
2024
ISBN
9789360130084
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