elenaramon/artificial-intelligence-course-exercises

University course exercises

Artificial Intelligence course exercises

lesson 1 - Uninformed Search Strategies

1. Breadth-First Search (BFS):

   • Tree Search;
   • Graph Search.

2. Depth-Limited Search (DLS) and Iterative Deepening depth-first Search (IDS):

   • DLS Tree Search;
   • DLS Graph Search.

lesson 2 - Informed Search Strategies

1. Greedy Best-First Search:

   • Tree Search;
   • Graph Search.

2. A* Search:

   • Tree Search;
   • Graph Search.

lesson 3 - Markov Decision Process

1. Value Iteration Algorithm;

2. Policy Iteration Algorithm.

lesson 4 - Reinforcement Learning

1. Q-Learning;

2. SARSA.

lesson 5 - Deep Reinforcement Learning

1. Deep Q-Learning.