Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Tutorial #49

Open
gnramos opened this issue Nov 28, 2015 · 2 comments
Open

Tutorial #49

gnramos opened this issue Nov 28, 2015 · 2 comments

Comments

@gnramos
Copy link
Contributor

gnramos commented Nov 28, 2015

One of the main goals is that this code be reused, so a tutorial with lots of examples is required.

  1. How does this work again? A simple explanation on how to use the system, and how it works in broad terms (how systems communicate).
  2. Wait, what? A simple explanation on how this code is organized and which "conceptual blocks" (adapter system, controller system) are associated to which code files.
  3. It's simple, we kill the Pac-Man Simple explanations on how to create and include a new ghost agent (say, one whose only action is to turn right on corners).
  4. I know Kung Fu A simple tutorial on how to use a new learning method for the agent (different from Q-learning). It assumes, of course, that the method is already implemented, it just needs to be incorporated.
  5. A Brave New World A simple tutorial on how to use a different simulator (like Platformer AI).
  6. Hasta la vista, Baby Ideas on how to adapt the system to communicate through ROS.
@gnramos
Copy link
Contributor Author

gnramos commented Mar 9, 2016

Any progress on this?

@gnramos
Copy link
Contributor Author

gnramos commented Jun 1, 2016

Please include an example policy file and explain how to interpret the results.txt (without using plot.py).

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

No branches or pull requests

2 participants