发明授权
- 专利标题: Action-based models to identify learned tasks
- 专利标题(中): 基于行动的模型识别学习任务
-
申请号: US13339297申请日: 2011-12-28
-
公开(公告)号: US09384448B2公开(公告)日: 2016-07-05
- 发明人: Peter Henry Tu , Ting Yu , Dashan Gao , Thomas Baby Sebastian , Yi Yao
- 申请人: Peter Henry Tu , Ting Yu , Dashan Gao , Thomas Baby Sebastian , Yi Yao
- 申请人地址: US NY Niskayuna
- 专利权人: General Electric Company
- 当前专利权人: General Electric Company
- 当前专利权人地址: US NY Niskayuna
- 代理商 Melissa K. Dobson
- 主分类号: G06N99/00
- IPC分类号: G06N99/00 ; G06K9/62
摘要:
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.
公开/授权文献
- US20130173504A1 SYSTEMS AND METHODS FOR ACTION RECOGNITION 公开/授权日:2013-07-04
信息查询