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University course exercises
License: MIT License
Jupyter Notebook 52.26%
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artificial-intelligence-course-exercises's Introduction
Artificial Intelligence course exercises
lesson 1 - Uninformed Search Strategies
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Breadth-First Search (BFS):
- Tree Search;
- Graph Search.
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Depth-Limited Search (DLS) and Iterative Deepening depth-first Search (IDS):
- DLS Tree Search;
- DLS Graph Search.
lesson 2 - Informed Search Strategies
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Greedy Best-First Search:
- Tree Search;
- Graph Search.
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A* Search:
- Tree Search;
- Graph Search.
lesson 3 - Markov Decision Process
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Value Iteration Algorithm;
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Policy Iteration Algorithm.
lesson 4 - Reinforcement Learning
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Q-Learning;
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SARSA.
lesson 5 - Deep Reinforcement Learning
- Deep Q-Learning.