check out this following example for the model-based learning? Explain this example

Solve question 4-c

4. (30 points) Reinforcement Learning (RL) a) How do model-based learning methods in RL work? b) How do model-free learning methods in RL work? c) We talked about the following example for the model-based learning? Explain this example. Input Policy Observed Episodes (Training) Learned Model Episode 1 Episode 2 T(s,a,s') B, east, C, -1 A B, east, C, -1 TIB, east, C) = 1.00 C, east, D, -1 C, east, D.-1 TIC, east, D) = 0.75 D, exit, X, +10 D, exit, X, +10 TIC, east, A) = 0.25 BH CHI D Episode 3 Episode 4 R(s, a, 8') E E, north, C, -1 E, north, C, -1 R(B, east, C) = -1 R(C, east, D) = -1 C, east, D, -1 C, east, A, -1 R(D, exit, x) = +10 Assume: y = 1 D, exit, X, +10 A, exit, X, -10 No discounting Uku