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Question 3 : In a Markov Decision Process ( MDP ) , the state s i n { 1 , 2 , 3 , dots,
Question :
In a Markov Decision Process MDP the state dots, is defined as the total capital
and action aindots,min is the current investment. In each step, an investment
will be successful with probability that lead to double the invested money. If it fails, the
investment will be lost. The termination condition is defined as reaching the total capital to or
The reward is zero in each transition except the game ends with full capital. In this case, the
reward is
a For and implement value iteration via MATLAB to obtain optimum
amount of investment with respect to the capital, and illustrate value estimatescapital ie
axis is value estimates, axis is capital and optimum policycapital graphs.
b For and implement policy iteration via MATLAB to obtain optimum
amount of investment with respect to the capital, and illustrate value estimatescapital ie
axis is value estimates, axis is capital and optimum policycapital graphs.
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