OPENTECHNICAL PUBLICATION
OT-2026-000001947

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

Published: 2026-09-15T19:09:41.592638Z
Permanent URL: https://opentechnical.org/p/OT-2026-000001947
Categories: Robotics & Automation > Robot Architectures

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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.

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OpenTechnical publication OT-2026-000001947
Published 2026-09-15T19:09:41.592638Z
https://opentechnical.org/p/OT-2026-000001947