AI Hangman Solver

In this Google Colab project, I developed and evaluated two AI-driven Hangman solvers. A heuristic search version that filters and ranks letters by frequency and an ε-greedy reinforcement-learning agent that adapts its letter “rewards” over thousands of simulated games. Both variants run end-to-end in Colab, complete with sample gameplay demonstrations, win-rate/learning-curve plots, and performance metrics. Explore the notebook to see how each approach tackles the classic word-guessing challenge and how their strategies compare in practice.