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Figure P12.20 depicts a neural-network-based scheme for approximating the target Q-factor denoted by Qtarget (i, α, w), where i denotes the state of the network, α denotes the action to be taken, and w denotes the weight vector of the neural network used in the approximation. Correspondingly Table P12.16 presents a summary of the approximate Q-learning algorithm. Explain the operation of the approximate dynamic programming scheme of Fig. P12.20 to justify the summary presented in Table P12.16.
Please make this code appear from right to left, it's HTML Code
Although the subsequent code compiles and runs, the programmer broke some major readability rules - Describe at least three changes that would make it easier for other programmers to read and understand the code.
How does the skill set of an IT Sales Manager differ from that of the technical manager? Who do you think has the broader skills set
Calculate, as a function of n for 1 ≤ n ≤ 106
Describe the relative strengths and weakness of Windows .NET server, UNIX and Linux in each of the following scenarios. Which operating system would you recommend for each scenario?
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The firm D wants to use the information available from its industry to determine its equity beta. Find out the firm D's equity beta. (Hint: use unlever and re-lever procedures)
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Identify possible objects in ONE of the following systems and develop an object-oriented design for them. Using a UML class diagram and associated explanation to show your design. You may make many reasonable assumptions about the system when derivin..
Write a program that creates a Random object
Write a paper on how to pick starting vectors for iterative methods relating to A*x=b and A*x=lambda*x. About 6 pages with references and sample calculations.
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