Projects

A project groups experiments that share the same training mode. Open Experiments in the sidebar to see your project list, then open a project to work on its experiments, results, and (for Advanced Training) pipelines.

Concept

Role

Organization

Your Arena workspace (billing, members, shared data)

Project

A goal or product line. Holds experiments and, for Advanced Training, pipelines.

Experiment

One training configuration and its runs

Agent

A deployed checkpoint you can call over HTTP (created from a finished experiment)

Finding projects

Use the Experiments entry in the sidebar.

What you want

Where in the UI

List projects

Experiments sidebar (project list)

Create a project

New project in the toolbar, or Create Project when the list is empty

Open a project

Click a project row

Edit project name and settings

Experiments list → row Edit → Update Project dialog

More screen names: Finding your way.

Creating a project

On the Experiments project list, click New project. Empty lists use Create Project instead. The dialog is always Create Project. Home uses the same empty-state label when you have no recent projects.

Fields:

  • Name

  • Description

  • Training switcher: Classic RL (default) or Advanced Training. Advanced Training turns on dataset and LLM-oriented experiment flows and shows the Pipelines tab. Classic RL uses gym environments only and hides Pipelines.

The Training choice is fixed for the project. It controls which wizard you see later.

Inside a project

After you open a project, up to three tabs appear.

Experiments holds draft and configured experiments. Open the wizard from New experiment in the toolbar, Create Experiment when the table is empty, or a Draft row. From here you can also start or resume training, stop a run, or open logs.

Results compares finished and in-flight runs. You can open logs from here too.

Pipelines appears only when the project was created with Advanced Training.

Both New experiment and Create Experiment open the Create Experiment dialog (Name, Description, then confirm).

Classic vs Advanced Training

Classic RL (Training switcher)

Advanced Training (Training switcher)

Environment step

Gym grid

Datasets and RL Environment rows

Agent step

Standard algorithm + Neural network

LLM agent UI or supervised forms for tabular datasets

Pipelines tab

Hidden

Shown

Tabular and non-tabular datasets require an Enterprise plan on the organization.