Method and apparatus for constructing informative outcomes to guide multi-policy decision making
US11087200B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 16, 2018 |
| Grant date | Aug 10, 2021 |
| Priority date | — |
| Expiry date | Jun 11, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N1/00002
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
In Multi-Policy Decision-Making (MPDM), many computationally-expensive forward simulations are performed in order to predict the performance of a set of candidate policies. In risk-aware formulations of MPDM, only the worst outcomes affect the decision making process, and efficiently finding these influential outcomes becomes the core challenge. Recently, stochastic gradient optimization algorithms, using a heuristic function, were shown to be significantly superior to random sampling. In this disclosure, it was shown that accurate gradients can be computed-even through a complex forward simulation—using approaches similar to those in dep networks. The proposed approach finds influential outcomes more reliably, and is faster than earlier methods, allowing one to evaluate more policies while simultaneously eliminating the need to design an easily-differentiable heuristic function.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.