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Conclusion

Congrats on finishing this unit! You’ve just trained your first ML-Agents and shared it to the Hub 🥳.

The best way to learn is to practice and try stuff. Why not try another environment? ML-Agents has 18 different environments.

For instance:

- Worm, where you teach a worm to crawl.
- Walker, where you teach an agent to walk towards a goal.

Check the documentation to find out how to train them and to see the list of already integrated MLAgents environments on the Hub: https://github.com/huggingface/ml-agents#getting-started

In the next unit, we’re going to learn about multi-agents. You’re going to train your first multi-agents to compete in Soccer and Snowball fight against other classmate’s agents.

Finally, we would love to hear what you think of the course and how we can improve it. If you have some feedback then please 👉 fill this form

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Keep Learning, stay awesome 🤗

Update on GitHub