jiseonghan / super-mario-rl Goto Github PK

Hi,

I recently came across your fascinating project on GitHub where you've developed an agent to play Super Mario using reinforcement learning. Your work is truly impressive, and I'm very interested in understanding more about your training methodology.

I was wondering if you could share some insights regarding how you trained your agent:

Did you train the agent on individual levels separately, or was it trained across the entire game directly?
Is the trained model capable of completing the entire Super Mario game without modifications, or does it require level-specific adjustments?
Your answers would greatly help in enhancing my understanding of applying reinforcement learning in complex environments like Super Mario. Thank you very much for your time and for sharing your work with the community.

Best regards,
asyuaye

Hi, Thanks for wonderful project!

I want to study RL via this code, but I have a question.

How can I get a video like mario1.gif? because I want to know my agent is trained well via gif or video.

thanks.

It seems, q_target.pth model is overridden by my model which you merged with the pull request. Actually i just tried for 5 episodes. Get back 39th commit model (your model).

And the q_target.pth in 39th commit having EOF file error. This Model size is 2MB (approx) but it should be 41 MB (approx). So there is mismatch is the state_dict() size.