episode)def main()env gym make('frozenlake- 'env seed( create the game make results reproducible rewards [ np zeros((env observation_space nenv action_space )for episode in range( num_episodes )state env reset(episode_reward while truenoise np random random(( env action_space )(episode** action np argmax( [state:noisestate rewarddone_ env step(actionqtarget reward discount_factor np max( [state :] [stateaction -learning_rate [stateactionlearning_rate qtarget episode_reward +reward state state if donerewards append(episode_rewardif episode report_interval = print_report(rewardsepisode