text: from agent import Agent
  from monitor import interact
  import gym
  import numpy as np
  
  env = gym.make('Taxi-v2')
  agent = Agent(algorithm='exp_sarsa',
                alpha=0.2512238484351891,
                epsilon_cut=0,
                epsilon_decay=0.8888782926665223,
                start_epsilon=0.9957089031634627,
                gamma=0.7749915552696941)
  
  avg_rewards, best_avg_reward = interact(env, agent)