The vacuum-cleaner agent environments that we have discussed so far are deterministic. Consider agent programs for each of the stochastic versions formulated

Actuator errors: 25 percent of the time, the action Suck fails to clean the floor when the floor is dirty and puts dirt onto the floor when the floor is clean. How is your agent program affected by this?

Pets in the house: At each time step, each clean square has a 10% chance of becoming dirty again.

Can you design a rational agent for this scenario?