Lecture 8: Off-line training algorithms, approximation architectures, neural nets. Spring 2022, ASU

Lecture 8: Off-line training algorithms, approximation architectures, neural nets. Spring 2022, ASU

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Slides, class notes, and related textbook material at http://web.mit.edu/dimitrib/www/RLbook.html
The course shifts its focus to off-line training algorithms. Approximation architectures, linear feature-based architectures, shallow and deep neural networks. Training algorithms based on incremental gradient methods. Applications in DP based or approximation in value space and policy space.

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Lecture 8: Off-line training algorithms, approximation architectures, neural nets. Spring 2022, ASU

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