- Patent Title: Action selection for reinforcement learning using neural networks
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Application No.: US16511571Application Date: 2019-07-15
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Publication No.: US10679126B2Publication Date: 2020-06-09
- Inventor: Simon Osindero , Koray Kavukcuoglu , Alexander Vezhnevets
- 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 ; G06N3/04

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a system configured to select actions to be performed by an agent that interacts with an environment. The system comprises a manager neural network subsystem and a worker neural network subsystem. The manager subsystem is configured to, at each of the multiple time steps, generate a final goal vector for the time step. The worker subsystem is configured to, at each of multiple time steps, use the final goal vector generated by the manager subsystem to generate a respective action score for each action in a predetermined set of actions.
Public/Granted literature
- US20190340509A1 ACTION SELECTION FOR REINFORCEMENT LEARNING USING NEURAL NETWORKS Public/Granted day:2019-11-07
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