absolutely imperative that you navigate across the lake and retrieve the disc howeverthe ice is slipperyso you won' always move in the direction you intend the surface is described using grid like the followingsfff (sstarting pointsafefhfh (ffrozen surfacesafefffh (hholefall to your doomhffg (ggoalwhere the frisbee is locatedthe player starts at the top leftdenoted by sand works its way to the goal at the bottom rightdenoted by the available actions are rightleftupand downand reaching the goal results in score of there are number of holesdenoted hand falling into one immediately results in score of in this sectionyou will implement simple -learning agent using what you've learned previouslyyou will create an agent that trades off between exploration and exploitation in this contextexploration means the agent acts randomlyand exploitation means it uses its -values to choose what it believes to be the optimal action you will also create table to hold the -valuesupdating it incrementally as the agent acts and learns make copy of your script from step cp bot_ _random py bot_ _q_table py then open up this new file for editing