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Get started on the full course for FREE: https://courses.dibya.online/ We compare 10 most popular Deep Reinforcement Learning frameworks in this video. We scored each frameworks on the following metrics. 1. How actively is the framework being developed? 2. Does it have the most important features? 3. How modular is the framework? 4. How good is its documentation? 5. Is the community or ecosystem strong? The details of the scoring system is here: https://gist.github.com/gutfeeling/01... Our conclusion is that Ray Rllib is currently the best Deep RL framework, closely followed by Acme, TF-Agents and Tianshou. This tutorial is part of a Deep Reinforcement Learning course, available as a YouTube playlist here: • Fast Deep Reinforcement Learning Course - ... The videos in the course build on top each each other. For optimal results, I recommend watching the videos in order, starting from the beginning of the playlist.