

Deep Reinforcement Learning with Python
Book • 2021
This book provides a comprehensive introduction to reinforcement learning (RL) and deep reinforcement learning (DRL) using Python.
It covers a wide range of algorithms, including DQN, PPO, and TD3, and utilizes tools like OpenAI Gym and TensorFlow.
The book is designed for beginners and advanced learners alike, offering detailed mathematical explanations and practical code examples to implement these algorithms effectively.
It covers a wide range of algorithms, including DQN, PPO, and TD3, and utilizes tools like OpenAI Gym and TensorFlow.
The book is designed for beginners and advanced learners alike, offering detailed mathematical explanations and practical code examples to implement these algorithms effectively.
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for learning about deep reinforcement learning using TensorFlow 2 and the OpenAI Gym Toolkit.

Ben Taylor

433: Data Science Trends for 2021