Artificial Intelligence, Finance, Reinforcement Learning, Data Science, Innovation.
Control” environment example may look like this: import gym # Import the Gym library # Create the environment env = gym.make("CartPole-v1") # Choose an environment, in this case, CartPole-v1 # Reset the environment to its initial state and get the initial observation observation = env.reset() # Run