---
publication_id: "OT-2026-000000416"
title: "Computer-implemented method for generating at least one weighted training example, use of at least one weighted training example for training a behavior planner, behavior planner"
published_at: "2026-09-15T19:02:51.520965Z"
canonical_url: "https://opentechnical.org/p/OT-2026-000000416"
categories:
  - "sensors-controls-machine-vision/industrial-control"
keywords:
  - "g05b13/027"
  - "b60w2050/0022"
  - "b60w50/0098"
  - "g05d1/22"
  - "g05d2101/10"
---

# Computer-implemented method for generating at least one weighted training example, use of at least one weighted training example for training a behavior planner, behavior planner

## Abstract

A computer-implemented method for generating at least one weighted training example for training a behavior planner for an at least partially automatically driving vehicle or a robot, wherein each training example is a tuple of a state and a corresponding specified target behavior. The method includes: extracting a state from a pre-provided initial training example as the initial state; rolling out a planning strategy of the behavior planner starting from the initial state within a simulation for generating a simulated behavior; terminating the simulation based on a termination condition; evaluating the initial state and/or a state encountered by the simulated behavior in the simulation; weighting a training example on the based on the evaluation of its state and/or at least one state encountered by the simulated behavior after this, wherein the training example is the initial training example and/or a training example newly generated based on an encountered state.