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[D] Approach to taking variable-length player action history as model input?

I’m trying to build a deep learning model for playing a particular game where previous action history is crucial in deciding future actions. I’m wondering if any of you have any tips for how best to encode this history of actions; for this example lets say that there are a set of actions that each player can perform, some of which have another player as a target, and some of which don’t. I was thinking about doing one-hot encoding for action type along with a static player ID number, then feeding the entire history into an LSTM. Are there any better ways?

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.