Is it possible to explain how dynamic programming uses the idea of optimality?
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Is it possible to explain how dynamic
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- Explain the relationship between the Bellman equation and the principle of optimality in dynamic programming.How does the Bellman operator relate to the concept of optimality in reinforcement learning?If an optimal solution to a problem can be obtained by greedy, It can also be obtained by dynamic programming. True or False?
- An artificial intelligence system was design to forecast the financial trading market and predict change based on observed variables from the business environment. A machine learning model is to be designed in understand and forecast trends based on Markov chain. The variables to be observed are Population(A) • Poverty rate(B) • Inflation (C) • Available resources(D) Theses variables can affect each other or impact upon one another. P Pia Ps ... ... P1 Pa2 P.5 ... ... P= Pu Ps Ps Psa Psj Ps.s ... The matix P represent the general form of an state matrix. Below is a table of the variables with their effect on each other. A B D A 0.1 0.1 0.1 0.7 В 0.2 0.3 0.2 0.3 0.3 0.4 0.1 0.2 0.4 0.2 0.2 0.2 Answer the following question below: a. Provide a general markov state diagram for the variable described. b. Assuming the below factor, A, affected the state in the table above, produce the state diagram for, A, and calculate the final state. 25 20 .25 .30 .20 30 .25 .30 .25 20 .40 .10 30 30 .10…An artificial intelligence system was design to forecast the financial trading market and predict change based on observed variables from the business environment. A machine learning model is to be designed in understand and forecast trends based on Markov chain. The variables to be observed are • Population(A) • Poverty rate(B) • Inflation (C) • Available resources(D) Theses variables can affect each other or impact upon one another. P Pa P Pa ... P,s P P.s .. P= P P.a P Ps Psa ... Ps The matix P represent the general form of an state matrix. Pss Below is a table of the variables with their effect on each other. A B D A 0.1 0.1 0.1 0.7 B 0.2 0.3 0.2 0.3 0.3 0.4 0.1 0.2 D. 0.4 0.2 0.2 0.2 Answer the following question below: a. Provide a general markov state diagram for the variable described. b. Assuming the below factor, A, affected the state in the table above, produce the state diagram for, A, and calculate the final state. 25 20 .25 .30 20 30 .25 .30 25 30 30 .10 .30 A = 20 .40…An artificial intelligent system was designed to forecast the financial trading market and predict change based on observed variables from the business environment. The variables to be observed are; a. Population (A) b. Poverty Rate (B) c. Inflation (C) d. Available Resources (D) These variables can affect each other or impact on one another. Below is. The table of the variables with their effect on each other. А B D А 0.3 0.3 0.3 0.1 0.1 0.1 0.4 0.4 C 0.2 0.5 0.1 0.2 D 0.1 0.2 0.2 0.5 Draw the Markov chain state diagram for the above table.
- An artificial intelligence system was design to forecast the financial trading market and predict change based on observed variables from the business environment. A machine learning model is to be designed in understand and forecast trends based on Markov chain. The variables to be observed are • Population(A) • Poverty rate(B) • Inflation (C) Available resources(D) Theses variables can affect each other or impact upon one another. P. R2 PI P1 P2 P/ Pis Pus P- P1 P2 PA Ps Ps2 The matix P represent the general form of an state matrix. Below is a table of the variables with their effect on each other. А B с D A 0.1 0.1 0.1 0.7 B 0.2 0.3 0.2 0.3 с 0.3 0.4 0.1 0.2 D 0.4 0.2 0.2 0.2 Answer the following question below: a. Provide a general markov state diagram for the variable described. b. Assuming the below factor, A, affected the state in the table above, produce the state diagram for, A, and calculate the final state. 25 20 25 30 .20 30 25 30 A= 25 20.40.10 30 30.10.30 c. Discuss the…Electronic Spreadsheet Applications Compare What-If Analysis using Trial and Error and Goal Seek to the given scenario: Let's say a student is enrolled in an online class at a learning institution for a semester. His overall average grade stands at 43% in the course (Term Grade is 45%, Midterm Grade is 65%, Class Participation is 62% and Final Exam is 0%). Unfortunately, he missed his Final Exam and was given 0%. However, he has the opportunity to redo his Final Exam and needs at least an overall average of 60% to pass the course. How can you use Trial and Error and Goal Seek to find out what is the lowest grade he needs on the Final Exam to pass the class? Which method worked best for you and why?Question 44 The correct statements are: In complexity study, a problem is considered easy if it is solvable and hard if unsolvable. For hard or intractable problems, it is impossible to find scalable optimal solutions. Heuristic solutions are supposed to be efficient and good, though not optimal. Every optimization problem can be transformed into a verification decision problem.