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amidos2006 / gym-pcgrl

A package for "Procedural Content Generation via Reinforcement Learning" OpenAI Gym interface.
MIT License
113 stars 27 forks source link

add pp env #11

Closed jngeun closed 2 years ago

amidos2006 commented 2 years ago

that is amazing, thanks for adding more problems. But what does it add compared to Binary problem?

Also, if you want to add a new problem please remove any changes in the rest of the files only add the new problem.

Finally, make a folder called pp that have the graphics to render and the solver (astar.py) class similar to all the other problems.

Thanks a lot

jngeun commented 2 years ago

Hello I'm attending Master Degree at Korea University.

I made mistake about github pull request. I'm so sorry.

Your research is very impressive. So i'm creating a map for indoor automobility using PCGRL.

If the result is good, I will send the request again.

Thanks for the reply.

2022년 3월 28일 (월) 오후 5:52, Ahmed Khalifa @.***>님이 작성:

that is amazing, thanks for adding more problems. But what does it add compared to Binary problem?

Also, if you want to add a new problem please remove any changes in the rest of the files only add the new problem.

Finally, make a folder called pp that have the graphics to render and the solver (astar.py) class similar to all the other problems.

Thanks a lot

— Reply to this email directly, view it on GitHub https://github.com/amidos2006/gym-pcgrl/pull/11#issuecomment-1080372446, or unsubscribe https://github.com/notifications/unsubscribe-auth/AQS4KEIEF5VKCIMFBRDUAU3VCFXOJANCNFSM5R2KZLOQ . You are receiving this because you authored the thread.Message ID: @.***>

amidos2006 commented 2 years ago

No problem :) will close that pull request for now and good luck :)