Indian Institute of Tecchnology Palakkad
Assignment I: Search - DFS, BFS, UCS, Greedy Search, A* Search
Assignment II: Multiagent - minimax, alpha-beta pruning, expectimax
Assignment III: Kakuro puzzle solver - CSPs, arc-consistency, backtracking search, backtracking search while maintaining arc consistency
Assignment IV: Ghostbusters - Hidden Markov Model, Bayes Net, Variable elimination, Factoring, Inference in Bayesian Networks
Assignment V: Markov Decision Processes & Reinforcement Learning - Value Iteration, Q-learning, Approximate Q-learning
The PDF within each folder details on each assignment. Assignments I, II, IV and V were adopted from UC Berkeley's introductory artificial intelligence class, CS 188.