Reinforcement learning by sharing individual data within dynamic groups
US12026610B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | Sep 25, 2018 |
| Grant date | Jul 2, 2024 |
| Priority date | — |
| Expiry date | Feb 7, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05D1/227
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for reinforcement learning with dynamic agent grouping include gathering information at a first agent using one or more sensors. Shared information is received at the first agent from a second agent. An agent model is trained at the first agent using the gathered information and the shared information. A contribution of the shared information is weighted according to a degree of similarity between the first agent and the second agent. An action is generated using the trained agent model responsive to the gathered information.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.