L Game
Implemented Edward de Bono’s L-game with a custom AI agent using minimax and alpha-beta pruning. Optimized for time and memory using heuristics and memoization. Added board transposition, flipping features, and visual enhancements for improved user interaction. Earned first place in class tournament by instantly computing optimal moves with a stronger heuristic.