random_agent.py

# create environment
import gym
env = gym.make('LunarLander-v2')

# create random agent
class RandomAgent:

    def __init__(self, env):
        self.env = env

    def act(self, state) -> int:
        """
        No input arguments to this function.
        The agent does not consider the state of the environment when deciding
        what to do next.
        """
        return self.env.action_space.sample()

agent = RandomAgent(env)