Patents by Inventor Hsuan-Tien LIN

Hsuan-Tien LIN has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Control method and reinforcement learning for medical system
    Patent number: 11600387
    Abstract: A control method for a reinforcement learning system includes following operations. The reinforcement learning system obtains training data relating to an interaction system. The interaction system interacts with a reinforcement learning agent. A neural network model is utilized by the reinforcement learning agent for selecting sequential actions from a set of candidate actions. The neural network model is trained to maximize cumulative rewards collected by the reinforcement learning agent in response to the sequential actions. During training of the neural network model, auxiliary rewards of the cumulative rewards are provided to the reinforcement learning agent according to a comparison between symptom inquiry actions of the sequential actions and diagnosed symptoms in the training data.
    Type: Grant
    Filed: May 17, 2019
    Date of Patent: March 7, 2023
    Assignee: HTC Corporation
    Inventors: Yu-Shao Peng, Kai-Fu Tang, Edward Chang, Hsuan-Tien Lin
  • CONTROL METHOD AND REINFORCEMENT LEARNING FOR MEDICAL SYSTEM
    Publication number: 20190355471
    Abstract: A control method for a reinforcement learning system includes following operations. The reinforcement learning system obtains training data relating to an interaction system. The interaction system interacts with a reinforcement learning agent. A neural network model is utilized by the reinforcement learning agent for selecting sequential actions from a set of candidate actions. The neural network model is trained to maximize cumulative rewards collected by the reinforcement learning agent in response to the sequential actions. During training of the neural network model, auxiliary rewards of the cumulative rewards are provided to the reinforcement learning agent according to a comparison between symptom inquiry actions of the sequential actions and diagnosed symptoms in the training data.
    Type: Application
    Filed: May 17, 2019
    Publication date: November 21, 2019
    Inventors: Yu-Shao PENG, Kai-Fu TANG, Edward CHANG, Hsuan-Tien LIN