https://github.com/parissashahabi/game-playing-intelligent-agent

Implemented reinforcement learning algorithms, including Value-Iteration and Q-Learning, for a 2D grid world Markov Decision Process resembling a Pac-man game. Also applied the Mini-Max algorithm and common path-planning techniques such as A*, Dijkstra, and bidirectional search.

astar-algorithm bidirectional-search dijkstra markov-decision-processes mdp minimax pac-man-game path-planning q-learning reinforcement-learning rl value-iteration

Last synced: 22 Jan 2026