Reinforcement Learning: Theory and Python Implementation

Zhiqing Xiao obtained doctoral degree from Tsinghua University in 2016 and has more than 15 years in academic research and industrial practices on data-analytics and AI. He is the author of two AI bestsellers in Chinese: "Reinforcement Learning" and "Application of Neural Network and PyTorch" and published many academic papers. He also contributed to recent versions of the open-source software Gym.

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Categoria: Intelligence (ai) & Semantics
Autor: Zhiqing Xiao
Editura: SPRINGER
An aparitie: 2023

Editie: Hardcover

Nr. pagini: 593

Cod: BRT9789811949326

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Reinforcement Learning: Theory and Python Implementation

De (autor): Zhiqing Xiao

Reinforcement Learning: Theory and Python Implementation

De (autor): Zhiqing Xiao

Descrierea produsului

S-ar putea sa-ti placa si

The Art of Reinforcement Learning: Fundamentals, Mathematics, and Implementations with Python - Michael Hu

Mastering Reinforcement Learning with Python: Build next-generation, self-learning models using reinforcement learning techniques and best practices - Enes Bilgin

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Artificial Intelligence with Python - Teik Toe Teoh

Deep Learning from the Basics: Python and Deep Learning: Theory and Implementation - Koki Saitoh

A Brief Guide to Artificial Intelligence - James V. Stone

Bayesian Optimization: Theory and Practice Using Python - Peng Liu

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Statistical Learning with Math and Python: 100 Exercises for Building Logic - Joe Suzuki

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Understanding Deep Learning - Simon J. D. Prince

Pytorch Pocket Reference: Building and Deploying Deep Learning Models - Joe Papa

Pro Deep Learning with Tensorflow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python - Santanu Pattanayak

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Operating AI: Bridging the Gap Between Technology and Business - Ulrika Jagare

My Cell Phone Can Think: A Textbook on Artificial Intelligence - Michiro Negishi

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