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AI-Lab

  1. Lab-1
    This lab includes implementation of Breadth First Search (BFS), Depth First Search (DFS), and Depth First Iterative Deepening (DFID).

  2. Lab-2
    This lab includes implementation of Block World Problem using Best First Search (BFS) and Hill Climbing Algorithms.

  3. Lab-3
    This lab includes implementation of k-SAT Problem using Heuristic Search Algorithms like VND and Tabu Search.

  4. Lab-4
    This lab includes implementation of Travelling Salesman Problem (TSP) using any of above mentioned algorithms to get minimum possible costs.

  5. Lab-5
    This lab includes implementation of Othello Game using MiniMax and Alpha-Beta Pruning Algorithms.

  6. Lab-6
    This lab includes implementation of Spam Email Classification using Support Vector Machines.

  7. Lab-7
    This lab includes implementation of Grid World Problem using techniques of Value Iteration and Policy Iteration in Reinforcement Learning to get optimal cost.