This book focuses on expert-level explanations and implementations of scalable reinforcement learning algorithms and approaches.

Starting with the fundamentals, the book covers state-of-the-art methods from bandit problems to meta-reinforcement learning. You'll also explore practical examples inspired by real-life problems from the industry

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