- Train segment model to sematically segment frames
- notebook works, organize segmentation methods into class
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Create behavior tree for apply user generated constraints
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Create progressive perceptive field and occupancy detection for agent
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Create tokens and transformer for actions
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Implement DQN for filtering action tokens
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Create method for discovering motifs
- get vertical position of mario on screen, feed into matrixprofile method for action classification (STAMP, STOMP, SCRIMP+, ???), see if forward/backward move commands can be added as another dimension
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Build system for training new DNNs on sequence clusters
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Build system for generating new tokens and retraining transformer
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Evaluation method for deterritorializing bad tokens