Interpreting data of reinforcement learning agent controller
US11560146B2 · kind B2 · utility
1Cited by
1References
12Claims
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Key dates
| Filing date | Jan 31, 2020 |
| Grant date | Jan 24, 2023 |
| Priority date | — |
| Expiry date | Dec 31, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2218/12
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure describes systems and methods that include calculating, via a reinforcement learning agent (RLA) controller, a plurality of state-action values based on sensor data representing an observed state, wherein the RLA controller utilizes a deep neural network (DNN) and generating, via a fuzzy controller, a plurality of linear models mapping the plurality of state-action values to the sensor data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.