Practice - A* Algorithm (Graph-Based Deterministic Planning)
Practice Questions
Test your understanding with targeted questions
What does f(n) represent in the A* algorithm?
💡 Hint: Think about how both g(n) and h(n) contribute to the pathfinding process.
Is A* admissible if h(n) overestimates the cost?
💡 Hint: Consider the implications of using an inaccurate heuristic.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does the 'g(n)' term represent in the A* algorithm?
💡 Hint: Think about what cost entails in a pathfinding context.
True or False: A* algorithm is guaranteed to find the optimal solution when h(n) is admissible.
💡 Hint: Recall the definition of admissibility in relation to the heuristic.
1 more question available
Challenge Problems
Push your limits with advanced challenges
A grid map has the following costs associated with movements: Up = 2, Down = 3, Left = 1, Right = 1. Design a scenario where the A* algorithm must find the optimal path from the start to the goal considering obstacles.
💡 Hint: Consider how obstacles affect the cost and how to manipulate the heuristic for efficiency.
Compare the performance of A against D in a logistics scenario where package delivery routes must be adjusted due to unexpected road closures.
💡 Hint: Focus on the trade-offs of recomputation versus incremental changes.
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Reference links
Supplementary resources to enhance your learning experience.