Artificial Intelligence, Finance, Reinforcement Learning, Data Science, Innovation.
the simulation for a certain number of steps for t in range(100): # Render the environment (optional, useful for visualising) env.render() # Take a random action from the action space action = env.action_space.sample() # Randomly select an action # Apply the action to the environment and get the