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Consider the grid - world given below and Pacman who is trying to learn the optimal policy. If an action results in landing into one
Consider the gridworld given below and Pacman who is trying to learn the optimal policy. If an action results in landing into one of the shaded states the corresponding reward is awarded during that transition. All shaded states are terminal states, ie the MDP terminates once arrived in a shaded state. The other states have the North, East.
South, West actions available, which deterministically move Pacman to the corresponding neighboring state or have
Pacman stay in place if the action tries to move out of the grad Assume the discount factor and the
Qlearning rate a for all calculations. Pacman starts in state
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