Distributional reinforcement learning for continuous control tasks
US11948085B2 · kind B2 · utility
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Key dates
| Filing date | Apr 19, 2023 |
| Grant date | Apr 2, 2024 |
| Priority date | — |
| Expiry date | Apr 19, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/044
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training an action selection neural network that is used to select actions to be performed by a reinforcement learning agent interacting with an environment. In particular, the actions are selected from a continuous action space and the system trains the action selection neural network jointly with a distribution Q network that is used to update the parameters of the action selection neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.