rockingdingo / gym-gomoku Goto Github PK

I am having the same problem you posted here:

openai/gym#497

However, the difference is I want to use the stable-baseline library but it seems it doesn't accept user-defined space type like the one you have used. I have posted my problem here:

https://stackoverflow.com/questions/60930232/problem-with-adding-logic-for-invalid-moves-in-openai-gym-and-stable-baselines

I was wondering if you any reinforcement learning which unlike stable-baselines works with environments with user-defined spaces (like this environment)?

The game is really awsome but I get a erroe when running the Quik Example in README.
I use the python3.7 and macOS.The error is:
File "/Users/myx/Desktop/chet/chet.py", line 9, in
env.render()
TypeError: render() missing 1 required positional argument: 'mode'
I want to knew why that happen.

gym 0.25.1
gym-gomoku 0.0.1