---
publication_id: "OT-2026-000001947"
title: "Method and electronic device for training policy model based on reinforcement learning"
published_at: "2026-09-15T19:09:41.592638Z"
canonical_url: "https://opentechnical.org/p/OT-2026-000001947"
categories:
  - "robotics-automation/robot-architectures"
keywords:
  - "b25j9/163"
  - "b25j9/163"
  - "b25j9/163"
  - "b25j9/16"
  - "b25j9/161"
  - "b25j9/161"
---

# Method and electronic device for training policy model based on reinforcement learning

## Abstract

The embodiment of the present discloses a method for training a policy model based on reinforcement learning and apparatus, and an electronic device. The method includes: determining an observation data sequence generated by an agent during a time period of executing a target task, a preset time window, and an expert data sequence corresponding to the target task; determining a cost matrix and a transport matrix based on the preset time window, the observation data sequence, and the expert data sequence; determining a reward value for each observation data in the observation data sequence based on the cost matrix and the transport matrix; and training the policy model based on the observation data and the reward value of the observation data.