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rl-book

Detailed Reinforcement Learning Guide with Python, TensorFlow, and PyTorch Implementations

Product DescriptionExplore reinforcement learning theories with practical Python examples using TensorFlow and PyTorch. This book covers significant algorithms such as PPO, RLHF, IRL, and PbRL within a robust mathematical framework. Each chapter provides cross-platform Python code (Windows, Linux, macOS), guiding through environment setups, including detailed gym frameworks. Suitable for anyone pursuing a comprehensive insight into reinforcement learning, featuring diverse models like average reward and semi-Markov.
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