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You can find this simulation here: https://github.com/WPI-MMR/gym_solo
So, now the useful stuff. We needed to create a bit more robust of a simulation framework, so we followed the OpenAI Gym API to create a "gym" environment for the Solo 8, the standard API for most Reinforcement Learning algorithms in industry. Following this API also means that a lot of common frameworks, such as Tensorflow suddenly become a lot more powerful because of the additional optimization they've done to gym environments.
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