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gridin i practical deep reinforcement learning python 2022

Type:: E-books
Files:: 1
Size:: 8.0 MB
Uploaded On:: July 31, 2022, 10:15 a.m.
Added By:: andryold1
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Info Hash:: 4404D95435210F83A1F3A17F8BA37D52015BA7C3

Textbook in PDF format Introducing Practical Smart Agents Development using Python, PyTorch, and TensorFlow Key Features Exposure to well-known RL techniques, including Monte-Carlo, Deep Q-Learning, Policy Gradient, and Actor-Critical. Hands-on experience with TensorFlow and PyTorch on Reinforcement Learning projects. Everything is concise, up-to-date, and visually explained with simplified mathematics. Introducing Reinforcement Learning Playing Monopoly and Markov Decision Process Training in Gym Struggling with Multi-Armed Bandits Blackjack in Monte Carlo Escaping Maze with Q-Learning Discretization Deep Reinforcement Learning TensorFlow, PyTorch, and Your First Neural Network Deep Q-Network and Lunar Lander Defending Atlantis with Double Deep Q-Network From Q-Learning to Policy-Gradient Stock Trading with Actor-Critic What Is Next?

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Gridin I. Practical Deep Reinforcement Learning with Python 2022.pdf 8.0 MB

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gridin i practical deep reinforcement learning python 2022

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