Printing apparatus, learning device, and learning method
AssigneeSeiko Epson Corporation
InventorHiroyuki Gunji
Life of this patent
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Abstract
A printing apparatus provided with a transportation mechanism for a printing medium includes: a storage configured to store a machine-learned model that outputs a setting value of the transportation mechanism for causing, based on state variables including a print length as a length of a print product printed on the printing medium, the print length to be close to a reference; and a processor configured to perform printing by controlling the transportation mechanism in accordance with the setting value acquired based on the machine-learned model.
Claims6
A printing apparatus including a transportation mechanism for a printing medium, the apparatus comprising:
- a storage configured to store a machine-learned model that outputs a setting value of the transportation mechanism for causing, based on state variables including a print length as a length of a print product printed on the printing medium, the print length to be close to a reference;
- and
- a processor configured to perform printing by controlling the transportation mechanism in accordance with the setting value acquired based on the machine-learned model,
- wherein the learning of the machine-learned model is carried out in a manner in which, based on a reward which becomes larger as the shift of the print length from the reference is smaller, the setting values are optimized by iterating an observation of the state variables, the determination of an action for changing the setting value in accordance with the state variables, and evaluation of the reward obtained by the action.
A learning device of a machine-learned model referred to in a printing apparatus provided with a transportation mechanism for a printing medium, the device comprising:
- a learning unit configured to acquire a model, as the machine-learned model, that outputs a setting value of the transportation mechanism for causing, based on state variables including a print length as a length of a print product printed on the printing medium, the print length to be close to a reference,
- wherein the learning of the machine-learned model is carried out in a manner in which, based on a reward which becomes larger as the shift of the print length from the reference is smaller, the setting values are optimized by iterating an observation of the state variables, the determination of an action for changing the setting value in accordance with the state variables, and evaluation of the reward obtained by the action.
A learning method for a machine-learned model referred to in a printing apparatus that is provided with a transportation mechanism for a printing medium, the method comprising:
- acquiring, as the machine-learned model, a model configured to output a setting value of the transportation mechanism for causing, based on state variable including a print length as a length of a print product printed on the printing medium, the print length to be close to a reference,
- wherein the learning of the machine-learned model is carried out in a manner in which, based on a reward which becomes larger as the shift of the print length from the reference is smaller, the setting values are optimized by iterating an observation of the state variables, the determination of an action for changing the setting value in accordance with the state variables, and evaluation of the reward obtained by the action.
Dependencies are inferred from the claim text.