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All RL Algorithms from Scratch is an educational reinforcement learning repository built around readable Python and Jupyter Notebook implementations. Its goal is to help learners understand how major reinforcement learning algorithms work under the hood instead of hiding the logic behind large frameworks. The project includes notebooks for value-based methods, policy-gradient methods, actor-critic algorithms, model-based learning, multi-agent reinforcement learning, planning, and...

This is currently a bunch of scripst used to manage translations of a large number of Java Server Pages (JSP). It is not integrated into any IDE, but can be used as a general way to manage these files from anywhere.