Deep Reinforcement Learning with Python: Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow, 2nd Edition

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(as of Dec 18,2024 00:09:12 UTC – Details)

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ASIN ‏ : ‎ B08HSHV72N
Publisher ‏ : ‎ Packt Publishing; 2nd edition (September 30, 2020)
Publication date ‏ : ‎ September 30, 2020
Language ‏ : ‎ English
File size ‏ : ‎ 31652 KB
Text-to-Speech ‏ : ‎ Enabled
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 762 pages
Page numbers source ISBN ‏ : ‎ 1839210680

Looking to dive deep into the world of reinforcement learning with Python? Look no further than the newly updated 2nd edition of “Deep Reinforcement Learning with Python.” This comprehensive guide will help you master classic RL techniques, deep RL algorithms, distributional RL, inverse RL, and much more using popular tools like OpenAI Gym and TensorFlow.

Whether you’re a beginner looking to get started with RL or an experienced practitioner looking to expand your skills, this book has something for everyone. You’ll learn how to build and train RL agents to solve a variety of challenging tasks, from simple grid worlds to complex video games.

With hands-on examples and practical exercises, you’ll gain a deep understanding of the principles behind RL and how to apply them to real-world problems. By the end of the book, you’ll be able to design and implement your own RL algorithms and tackle a wide range of tasks with confidence.

Don’t miss out on this opportunity to level up your RL skills with Python. Get your copy of “Deep Reinforcement Learning with Python, 2nd Edition” today!
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