Reinforcement learning method and reinforcement learning system
US11619915B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 21, 2020 |
| Grant date | Apr 4, 2023 |
| Priority date | — |
| Expiry date | Nov 29, 2040 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY04S40/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented reinforcement learning method includes determining, based on a target probability of satisfaction of a constraint condition related to a state of a control object and a specific time within which a controller causes the state of the control object not satisfying the constraint condition to be the state of the control object satisfying the constraint condition, a parameter of a reinforcement learner that causes, in a specific probability, the state of the control object to satisfy the constraint condition at a first timing following a second timing at which the state of control object satisfies the constraint condition; and determining a control input to the control object by either the reinforcement learner or the controller, based on whether the state of the control object satisfies the constraint condition at a specific timing.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.