Implementations of reinforcement learning algorithms

To setup your environment, simply run:

scripts/setup_dev.sh

This will install uv for environment management, any package dependencies from uv.lock, as well as pre-commit hooks for code formatting defined in .pre-commit-config.yaml.

You'll also need to add your Weights and Biases key in a .env file as shown in the .env.example:

WANDB_KEY="YOUR_WANDB_API_KEY"

There is a README.md file in each algorithm folder with more details on how to run.