Invention Grant
- Patent Title: Neural networks for selecting actions to be performed by a robotic agent
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Application No.: US16829237Application Date: 2020-03-25
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Publication No.: US11534911B2Publication Date: 2022-12-27
- Inventor: Razvan Pascanu , Raia Thais Hadsell , Mel Vecerik , Thomas Rothoerl , Andrei-Alexandru Rusu , Nicolas Manfred Otto Heess
- Applicant: DeepMind Technologies Limited
- Applicant Address: GB London
- Assignee: DeepMind Technologies Limited
- Current Assignee: DeepMind Technologies Limited
- Current Assignee Address: GB London
- Agency: Fish & Richardson P.C.
- Main IPC: G06N3/08
- IPC: G06N3/08 ; B25J9/16 ; G06N3/04 ; G05B13/02 ; G06N3/00

Abstract:
A system includes a neural network system implemented by one or more computers. The neural network system is configured to receive an observation characterizing a current state of a real-world environment being interacted with by a robotic agent to perform a robotic task and to process the observation to generate a policy output that defines an action to be performed by the robotic agent in response to the observation. The neural network system includes: (i) a sequence of deep neural networks (DNNs), in which the sequence of DNNs includes a simulation-trained DNN that has been trained on interactions of a simulated version of the robotic agent with a simulated version of the real-world environment to perform a simulated version of the robotic task, and (ii) a first robot-trained DNN that is configured to receive the observation and to process the observation to generate the policy output.
Public/Granted literature
- US20200223063A1 NEURAL NETWORKS FOR SELECTING ACTIONS TO BE PERFORMED BY A ROBOTIC AGENT Public/Granted day:2020-07-16
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