Invention Grant
- Patent Title: Action-based models to identify learned tasks
- Patent Title (中): 基于行动的模型识别学习任务
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Application No.: US13339297Application Date: 2011-12-28
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Publication No.: US09384448B2Publication Date: 2016-07-05
- Inventor: Peter Henry Tu , Ting Yu , Dashan Gao , Thomas Baby Sebastian , Yi Yao
- Applicant: Peter Henry Tu , Ting Yu , Dashan Gao , Thomas Baby Sebastian , Yi Yao
- Applicant Address: US NY Niskayuna
- Assignee: General Electric Company
- Current Assignee: General Electric Company
- Current Assignee Address: US NY Niskayuna
- Agent Melissa K. Dobson
- Main IPC: G06N99/00
- IPC: G06N99/00 ; G06K9/62

Abstract:
Systems provided herein include a learning environment and an agent. The learning environment includes an avatar and an object. A state signal corresponding to a state of the learning environment includes a location and orientation of the avatar and the object. The agent is adapted to receive the state signal, to issue an action capable of generating at least one change in the state of the learning environment, to produce a set of observations relevant to a task, to hypothesize a set of action models configured to explain the observations, and to vet the set of action models to identify a learned model for the task.
Public/Granted literature
- US20130173504A1 SYSTEMS AND METHODS FOR ACTION RECOGNITION Public/Granted day:2013-07-04
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