# Running a simple graph network example in gym

This a fix example to run in gym open ai

library(gym)

remote_base <- "http://127.0.0.1:5000"
client <- create_GymClient(remote_base)

# Create environment
env_id <- "CartPole-v0"
instance_id <- env_create(client, env_id)


How is it possible to create as input a graph with specific number of nodes (i.e. 7) and the characteristics of graph are a fully connected undirect graph with different weights in edges?