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harihara-n/Artificial-Intelligence---Search-algorithms
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This project was part of the AI Grad level course at Texas A&M University. It contains the following two problems- 1. 8 puzzle problem: Investigates and compares the performance of Depth First, Breadth First and Iterative Depth First Search techniques for the 8 puzzle problem. For results refer to the detailed document inside the 8 puzzle section. 2. Stacking Problem: Investigates the Stacking Problem and provides a heuristic search algorithm to solve it. I essentially compare two different heuristics for this problem and report their performance for various test cases.
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AI grad course - search algorithms code
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