Hands-On Intelligent Agents with OpenAI Gym

Exploring the Gym environments

To make it easy for us to visualize what an environment looks like or what its task is, we will make use of a simple script that can launch any environment and step through it with some randomly sampled actions. You can download the script from this book's code repository under ch4 or create a file named run_gym_env.py under ~/rl_gym_book/ch4 with the following contents:

#!/usr/bin/env pythonimport gymimport sysdef run_gym_env(argv):    env = gym.make(argv[1]) # Name of the environment supplied as 1st argument    env.reset()    for _ in range(int(argv[2])):        env.render()        env.step(env.action_space.sample())    env.close()if __name__ == "__main__":    run_gym_env(sys.argv)

This script will take the name of the environment supplied ...