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ASIN : 1835882706
Publisher : Packt Publishing; 3rd ed. edition (November 12, 2024)
Language : English
Paperback : 716 pages
ISBN-10 : 1835882714
ISBN-13 : 978-1835882719
Item Weight : 3.29 pounds
Dimensions : 0.51 x 7.5 x 9.25 inches
Deep Reinforcement Learning Hands-On: A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF
Are you interested in diving into the world of Deep Reinforcement Learning but don’t know where to start? Look no further! In this comprehensive guide, we will take you through the fundamentals of RL, from basic concepts like Q-learning and Deep Q Networks (DQNs) to more advanced algorithms like Proximal Policy Optimization (PPO) and Reinforcement Learning from Human Feedback (RLHF).
Whether you’re a beginner looking to understand the basics or an experienced practitioner wanting to explore cutting-edge techniques, this hands-on guide has got you covered. With practical examples, code snippets, and step-by-step explanations, you’ll be able to build and train your own RL models in no time.
So, what are you waiting for? Dive into the world of Deep Reinforcement Learning with our easy-to-follow guide and start building intelligent agents that can learn and adapt to complex environments. Happy learning!
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