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
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)
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.