Reinforcement Learning, Machine Learning, Policy, Data Science, Artificial Intelligence.
cell with the maximum expected reward in the neighbourhood (-14 in our case)? Optimal actions from the cell B3 lead to either A3 or B4 where the expected reward reaches its maximum. This idea makes sense because being located at A3 or B4 gives the agent a possibility to finish the maze in just one