For more information on project, read Project_report.pdf.
PacMan Game developed using Python. Implemented SARSA and compared it with Linear Function Approximation. Coordinated implementation of Alpha Beta Pruning, Min-Max Reflex Agents, Markov Decision Process, Q-Learning, Joint-Particle Filtering to develop a PacMan Game in Python. Led testing of SARSA algorithm in Crawler with 2 degree of freedom and achieved 7% improvement over Q-learning.
For Grader: Run AutoGrader.py
For Others:
- Run Crawler.py to see difference between original and new algorithm.
- Run Pacman