Contrary to supervised learning, which requires extensive and static training data, DRL relies on simulation to train agents on data generated on-the-fly. Simulation also enables the agent to generate large amounts of experience without requiring real-world interactions, making it a more efficient and cost-effective learning approach. There are many simulations available to model various environments, such as physics, gaming, robotics, logistics, etc., which makes DRL a versatile approach to developing autonomous systems for a wide range of applications.

Simulation AI



Agent trainings take place in simulators, which represent a playground and learning ground for the agents. Simulators are part of the implementation of autonomous agents.
Deep Reinforcement Learning (DRL) for simulations also represents a major step forward in technological innovation for the aerospace and defense industries. They provide a controlled, secure space in which to simulate realistic scenarios, enabling decision strategies to be tested economically and efficiently before being deployed in a real environment.


For a DRL project, simulators can be specifically created for the integration of agents that subsequently learn in them. Existing simulators can also be used, if they meet the requirements of a DRL project.

Creating a customized simulator

In the case of a project with Delfox, our Machine Learning Engineer team works closely with you to design customized virtual environments, precisely matching your business specifications to best meet your needs.

Use of an existing simulator

If you already have an established simulation and are considering integrating DRL agents into it, our Machine Learning Engineer team is perfectly qualified to connect your simulation solution to our learning platforms to meet your needs.

Simulation Delfox

Which simulator for a DRL project?

Training on our facilities

When you choose to train DRL agents on our infrastructures, you benefit from several advantages:

  • The use of our scalable infrastructures, enabling you to easily adapt resources to your needs.
  • Access to our technical support, ensuring a smooth and efficient training process.
  • The use of our training environments, optimized for intensive computations and accelerating the learning process.

Installing our learning solution in your company

If you prefer to maintain control over your synthetic or real data and infrastructure, we can help you install our training environments on site. This option allows you to train DRL agents in-house while benefiting from our expertise and advanced training solutions. Our team will work with yours to configure and optimize the entire process, offering the option of customizing training environments to meet your specific needs. In this way, you retain full ownership and control of your data, while leveraging our expertise to bring your learning projects to fruition.

Simulation DRL