Berkeley CS 188 AI-Pacman

Project 1: Search in Pacman

Link to assignment: See Official Site

Plays Pacman using state space search algorithms such as BFS, DFS, A*. Files edited: search.py, searchAgents.py

Final grades: Total: 25/25

Project 2: Multi-Agent Pacman

Link to assignment: See Official Site

Pacman faces the ghost using Reflex Agent, MiniMax, Alpha-Beta Pruning and Expectimax

Final grades: Total: 26/25. (+1 due to extra point for heuristics that managed to score above the threshold)

Project 3: MDPs and Reinforcement Learning

Link to assignment: See Official Site

Implement Value Function, Q learning, and Approximate Q learning to help pacman and crawler agents learn rational policies

Final grades: Total: 24/25.