---
publication_id: "OT-2026-000002833"
title: "Techniques for training and implementing reinforcement learning policies for robot control"
published_at: "2026-09-15T19:15:39.164247Z"
canonical_url: "https://opentechnical.org/p/OT-2026-000002833"
categories:
  - "robotics-automation/robot-architectures"
keywords:
  - "b25j9/163"
  - "b25j9/163"
  - "b25j9/163"
  - "b25j9/16"
  - "b25j9/1605"
  - "b25j9/1605"
---

# Techniques for training and implementing reinforcement learning policies for robot control

## Abstract

One embodiment of a method for training a machine learning model to control a robot includes causing a model of the robot to move within a simulation based on one or more outputs of the machine learning model, computing an error within the simulation, computing at least one of a reward or an observation based on the error, and updating one or more parameters of the machine learning model based on the at least one of a reward or an observation.