RL environment partners.

An RL environment is the task an agent learns in: its observations, actions, rewards, resets, and success criteria. Optimus assembles environments from simulators, games, benchmark hubs, and customer code. If you build environments, we work with you to package them so Optimus can install, configure, and run them in a customer's workspace, then evaluate policies against them. Your environment becomes an option Optimus reaches for whenever a task matches it.

What you can supply

How the RL environment partnership works

Steps

  1. 01

    Share access

    You give us access to the product, its technical documentation, and a contact on your engineering team.

  2. 02

    We integrate

    We build the integration and write the documentation Optimus follows, so it knows when to use your product and how.

  3. 03

    Test together

    We run it in a real training setup and check the results with you before anything reaches a customer.

  4. 04

    Go live

    Optimus can select your product in customer runs, on commercial terms we agree with you.

For researchers

If you research environment design, generalisation, or how agents should be tested, we would like to collaborate. Use Optimus to build and run the environments your experiments need, and bring us the questions you want answered. We are open to publishing results together.

Academic labs, independent researchers, and open-source teams can apply for up to $30,000 in Iacon credits through our research grants.

Talk to us

If a training run consumes what you sell, we should talk. Book a time directly, or write to dev@iaconautonomics.com and tell us which layer you supply.

Book a call