fbarth/ai-course
Code related to Intelligent Agents, Solving Problem by Searching, Informed Search Methods, Game Playing and Reinforcement Learning.
This collection of code and documentation serves as a learning resource for students studying Artificial Intelligence. It provides practical examples and explanations for core AI concepts such as intelligent agents, problem-solving through search algorithms, game playing, and reinforcement learning. Computer Science undergraduates will find this project useful for understanding foundational AI principles.
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Use this if you are an undergraduate Computer Science student looking for practical code examples and conceptual documentation to learn core Artificial Intelligence topics.
Not ideal if you are a practitioner looking for a tool to apply AI directly to business problems, as this project is primarily for educational purposes.
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Jupyter Notebook
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Last pushed
Nov 18, 2021
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