aleju/mario-ai

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About This project contains code to train a model that automatically plays the first level of Super Mario World using only raw pixels as the input (no hand-engineered features). The used technique is deep Q-learning, as described in the Atari paper (Summary), combined with a Spatial Transformer. Video Methodology Basics, replay memory The training method is deep Q-learning with a replay memory, i.e. the model observes sequences of screens, saves them into its memory and later trains on them, where...