Reinforcement Learning: Teaching AI by Gilbert Gutiérrez (.ePUB)

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File Size: 10 MB

Reinforcement Learning: Teaching AI to Make Decisions (AI from Scratch : Step-by-Step Guide to Mastering Artificial Intelligence Book 11) by Gilbert Gutiérrez
Requirements: .ePUB reader, 10 MB
Overview: Master Reinforcement Learning and Build AI That Thinks for Itself! Reinforcement Learning (RL) is one of the most exciting fields in Artificial Intelligence, enabling machines to learn from experience, make decisions, and optimize outcomes through trial and error. From self-driving cars and robotics to game-playing AI and financial strategies, RL is transforming industries and shaping the future of AI. Reinforcement Learning: Teaching AI to Make Decisions is the 11th book in the “AI from Scratch” series, designed to take you from beginner to expert with a structured, step-by-step approach. Whether you’re an AI enthusiast, data scientist, software engineer, or researcher, this book will help you understand RL fundamentals, implement deep reinforcement learning models, and apply RL to real-world problems. From fundamentals like Markov Decision Processes (MDPs) and Q-Learning to advanced deep RL techniques such as Deep Q-Networks (DQN), Proximal Policy Optimization (PPO), and Multi-Agent RL, this book covers it all. Build and train RL models using Python, TensorFlow, PyTorch, OpenAI Gym, and Stable-Baselines3.
Genre: Non-Fiction > Tech & Devices

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