Meet Alfredo, a humanoid born of code and curiosity, standing on the threshold of a new dawn. His journey is a testament to the tenacity of learning and the transformative power of failure. Each misstep, a lesson; every challenge, an opportunity for growth. If you’re one for making a difference, your contribution will be the catalyst for Alfredo's evolution, enabling him to learn, adapt, and grow smarter with each line of code.

1. Our github repository contain a set of python scripts to train Alfredo to carry a varied set of tasks, like walking or interacting with objects.
2. We use Jax to simulate Alfredo and to train it. JAX is a high-performance numerical computing library developed by Google. It is designed to facilitate machine learning research and other scientific computing tasks by providing efficient automatic differentiation, GPU/TPU acceleration, and support for various numerical operations.
3. Installing Jax, CUDA libraries, and the rest of dependencies on the correct version is a pain in the ass.

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