You're eager to dive into the world of Reinforcement Learning, but might be unsure about where to begin. This dynamic field has a rich history with significant ongoing research activity worldwide. In this continuously updated collection, you will find a broad yet non-exhaustive array of resources, curated to cater to various learning styles and preferences. Whether you prefer books, videos, tutorials, or blogs, you can find a starting point that suits you. Additionally, our curation includes a focus on the SUITERS perspective, highlighting the latest tools and research around simulation and theory in Usability, Interpretability, Ethical, and Societal implications. Keep in mind that this list is ever-evolving, as we strive to encompass the diverse and expanding field of Reinforcement Learning.