aminkhani/Deep-RL
You can see a reference for Books, Articles, Courses and Educational Materials in this field. Implementation of Reinforcement Learning Algorithms and Environments. Python, OpenAI Gym, Tensorflow.
This is a curated collection of learning resources for anyone wanting to understand or implement Reinforcement Learning (RL) techniques. It provides a structured roadmap, links to key books, research articles, courses, and blog posts. This is ideal for students, researchers, or AI practitioners looking to deepen their knowledge in RL and apply it to problems.
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Use this if you are a machine learning student, researcher, or practitioner seeking a comprehensive, organized entry point into the field of Reinforcement Learning, including theoretical foundations and practical implementations.
Not ideal if you are looking for a plug-and-play software solution or a simple API to solve a specific business problem without needing to understand the underlying RL mechanisms.
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Aug 22, 2022
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