noise np random random(( env action_space )(episode** action np argmax( [state:noisestate rewarddone_ env step(actionyour main game loop will then match the following/ataribot/bot_ _q_table py 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(actionepisode_reward +reward state state if donerewards append(episode_rewardbreak