tdpeuter/2026SEL3-project-Brittle_Star_Controller_Modularity

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Tibo De Peuter 2d43f5e642

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Co-authored-by: RobinMeersman <77965843+RobinMeersman@users.noreply.github.com>
Co-authored-by: Tibo De Peuter <tibo.depeuter@telenet.be>

2026-04-09 15:02:02 +02:00

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Brittle Star

Quick Start

Installation

To set up the UV module, you can run the following command:

uv sync --frozen

Configuration

Copy the default configuration:

cp configs/default_ppo.yaml configs/my_experiment.yaml

Edit configs/my_experiment.yaml to set your WandB credentials:

track: true  # Enable WandB logging
wandb_entity: "your-wandb-username"  # Replace with your username/team
wandb_project_name: "PPO-Modularity"

(Optional) Login to WandB:
```
uv run wandb login
```

Training

example command:

uv run python scripts/train.py

Or use a custom config file:

uv run python scripts/train.py --config configs/my_experiment.yaml

Override specific parameters:

uv run python scripts/train.py --learning-rate 0.001 --num-envs 32 --track

Logging

The training script uses a unified logging framework that:

Logs to WandB (when enabled)
Saves metrics to local disk (JSON files in runs/)
Displays progress in stdout

All experiment data is preserved locally, even if WandB is unavailable.

HPC

See docs/HPC.md for the full guide, including environment setup, cluster selection, interactive debugging, and job submission.

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