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Algorithms for Reinforcement Learning (Synthesis Lectures on Artificial Intelligence and Machine Learning) de Csaba Szepesvari
Descripción - Reseña del editor Reinforcement learning is a learning paradigm concerned with learning to control a system so as to maximize a numerical performance measure that expresses a long-term objective.What distinguishes reinforcement learning from supervised learning is that only partial feedback is given to the learner about the learner's predictions. Further, the predictions may have long term effects through influencing the future state of the controlled system. Thus, time plays a special role. The goal in reinforcement learning is to develop efficient learning algorithms, as well as to understand the algorithms' merits and limitations. Reinforcement learning is of great interest because of the large number of practical applications that it can be used to address, ranging from problems in artificial intelligence to operations research or control engineering. In this book, we focus on those algorithms of reinforcement learning that build on the powerful theory of dynamic programming.We give a fairly comprehensive catalog of learning problems, describe the core ideas, note a large number of state of the art algorithms, followed by the discussion of their theoretical properties and limitations.
Detalles del Libro
- Name: Algorithms for Reinforcement Learning (Synthesis Lectures on Artificial Intelligence and Machine Learning)
- Autor: Csaba Szepesvari
- Categoria: Libros,Ciencias, tecnologÃa y medicina,TecnologÃa e ingenierÃa
- Tamaño del archivo: 11 MB
- Tipos de archivo: PDF Document
- Descargada: 456 times
- Idioma: Español
- Archivos de estado: AVAILABLE
Descargar Algorithms for Reinforcement Learning (Synthesis Lectures on Artificial Intelligence and Machine Learning) de Csaba Szepesvari libros ebooks
Pdf algorithms for reinforcement learning reinforcement learning is of great interest because of the large number of practical applications that it can be used to address ranging from problems in artificial intelligence to operations
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Algorithms for reinforcement learning algorithms for reinforcement learning synthesis lectures on arti cial intelligence and machine learning series by morgan amp claypool publishers machine learning will be useful this book has three parts in the rst part in section 2 we provide the necessary background
Reinforcement learning a step towards artificial general unlike other machine learning algorithms that are dependent on precollected data reinforcement learning is a type of semisupervised machine learning method that is based on rewards determined
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Artificial intelligence what is reinforcement learning reinforcement learning is another variation of machine learning that is made possible because ai technologies are maturing leveraging the vast amounts of data we create every day this simple
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