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

How to generalize to other Atari Games? #20

Closed
Chia-Hsuan-Lee opened this issue Jan 6, 2017 · 2 comments
Closed

How to generalize to other Atari Games? #20

Chia-Hsuan-Lee opened this issue Jan 6, 2017 · 2 comments

Comments

@Chia-Hsuan-Lee
Copy link

Hi i want to run your code to train agent on other games.
Is there any code or hyperparameter that needs to be changed in order to train a nice agent ?

@carpedm20
Copy link
Contributor

It highly depends on what the game is. If a game needs a long series of steps to make a decision, you need to increase history_length. If the game's state is diverse, you may need to increase memory_size. If the game is hard to learn, you need to increase max_steps. If the input of the game has higher dimension, you need to change the structure of the network to represent the state more clearly.

@Chia-Hsuan-Lee
Copy link
Author

Thanks really a lot !

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

No branches or pull requests

2 participants