vmayoral/basic_reinforcement_learning
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
This repository offers a step-by-step introduction to Reinforcement Learning (RL) techniques, guiding you through coding various algorithms from Q-learning to Deep Q-networks. It takes theoretical concepts and shows you how to implement them, often within the OpenAI Gym environment. This resource is for developers, researchers, and students who want to learn how to apply RL to build intelligent systems.
1,213 stars. No commits in the last 6 months.
Use this if you are a developer or student new to reinforcement learning and want practical, coded examples to understand how different algorithms work.
Not ideal if you are looking for a high-level conceptual overview without diving into code implementation details or a production-ready RL library.
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Jul 14, 2023
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