Compare the breadth-first and depth-first search algorithms : BFS and DFS Implementation

The lecture introduces breadth-first search (BFS) and depth-first search (DFS), explaining their differences and applications in grid world environments, particularly in robotics. It provides practical examples and formal steps for implementing these algorithms. The lecture also outlines upcoming assignments where students will apply BFS and DFS, including handling obstacles like walls in grid worlds.

What role does the 'goal' play in the search algorithms discussed?

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How can walls in a grid world affect the search algorithms?

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What is the significance of exploring all options before moving deeper in breadth first search?

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Discuss the importance of tracking explored areas in search algorithms.

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