Beyond the Basics: Reinforcement Learning with Jax — Part I: Introduction and Core Concepts

Beyond the Basics: Reinforcement Learning with Jax — Part I: Introduction and Core Concepts

An overview of Reinforcement Learning fundamentals: Markov Decision Processes, Policies, and Value Functions

In this series of blog posts, I am excited to share with you my passion for the Reinforcement Learning (RL) paradigm. My mission is to provide an in-depth exploration of RL, combining theoretical knowledge with practical examples that tackle real-world problems.

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artificial intelligence author basics beyond blog core decision editors pick fundamentals introduction jax machine learning markov overview part passion processes reinforcement reinforcement learning series value