If you’re new to ML-Agents, check out the official
ML-Agents Documentation for setup, installation, and training details.
You can also dive into Hugging Face’s
Deep RL Course for step-by-step guidance on how to train agents and upload them to the Hub.
This is the fun part! You can
interactively play with your trained Huggy agent directly in your browser:
👉 Open the Huggy game here:
Huggy on Hugging Face Spaces💡 During training, multiple model checkpoints were saved (e.g., every 200,000 timesteps).
You can try different versions to observe how Huggy improves over time.
For example, the most recent model file is: Huggy.onnx
The PPO agent was trained successfully and learned to play the Huggy environment.
Thanks to the Hugging Face integration, you can:
