Frog Game & Connect Four AI
A Unity-based dual-game project demonstrating advanced artificial intelligence techniques in both real-time navigation and turn-based strategy.
Demonstrated mastery of multiple AI paradigms including behavior trees, minimax, MCTS, and expert heuristic systems.
Frog Game & Connect Four AI Demo
Built modular behavior tree system for frog survival game with A* pathfinding, threat avoidance, and terrain-aware movement.
Developed 6 AI agents for Connect Four including Allis, Minimax, MCTS, and rule-based logic.
Implemented Zobrist hashing and alpha-beta pruning for efficient game state evaluation.
Created real-time debug tools, caching systems, and visualization layers to monitor AI decision-making.
Behavior Tree AI with modular decision-making and blackboard system
A* algorithm with 5+ heuristic types and dynamic terrain cost handling
Victor Allis's expert strategy with 9 rule types + Zugzwang detection
Monte Carlo Tree Search with UCB1
Configurable board size, win conditions, and agent matchups