The problem
Why this system exists.
Research experiments involve configuration, training, and evaluation. Keeping those stages organized makes individual runs easier to inspect and compare.
What was built
From task to workflow.
A guided workspace for configuring reinforcement learning experiments, running training jobs, monitoring progress, and evaluating saved models.
In use
What you can do.
- Choose an environment and compatible training algorithm.
- Start training jobs and review their progress.
- Find saved runs and evaluate their results.
Let’s talk
What would you
like to build?
Tell me about the workflow, the challenge, or the idea.
We can work out a practical next step.