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Reinforcement Learning - Economics Dictionary of Arguments | |||
Reinforcement learning: Reinforcement learning (RL) is a type of machine learning that allows an agent to learn how to behave in an environment by trial and error. See also Learning, Machine learning, Artificial Intelligence._____________Annotation: The above characterizations of concepts are neither definitions nor exhausting presentations of problems related to them. Instead, they are intended to give a short introduction to the contributions below. – Lexicon of Arguments. | |||
Author | Item | More concepts for author | |
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AI Research | Reinforcement Learning | AI Research | |
Bostrom, Nick | Reinforcement Learning | Bostrom, Nick | |
Griffiths, Tom | Reinforcement Learning | Griffiths, Tom | |
Minsky, Marvin | Reinforcement Learning | Minsky, Marvin | |
Authors A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Concepts A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Ed. Martin Schulz, access date 2025-03-16 |