AI Episode 12 | Local Search in AI | Hill Climbing, Random Restart & Stochastic Search Explained

Welcome to Episode 12 of our Artificial Intelligence lecture series! 🎓 In this lecture, we explore Local Search Algorithms (LSAs) – powerful techniques used when paths don’t matter, only solutions do. These algorithms are widely applied in optimization problems, from route planning to machine learning. 🔑 Topics Covered: What are Local Search Algorithms? Visualizing search as a landscape of peaks and valleys. Hill Climbing: steepest ascent and its greedy nature. Pitfalls of hill climbing: local maxima, ridges, and plateaux. Variations of hill climbing: stochastic, first-choice, and ran…