gaut2172/TreasureHuntGame
AI pathfinding project using deep reinforcement learning. Deep Q-learning algorithm that teaches a pirate agent to find the optimal path to treasure (CS-370 Current/Emerging Trends in CS class project)
This project explores advanced AI pathfinding, specifically using deep reinforcement learning. It simulates a game where an AI pirate learns to find treasure on a map more efficiently than a human player. The output is an AI agent capable of consistently finding optimal paths, and it would be used by computer science students or researchers interested in AI and machine learning.
No commits in the last 6 months.
Use this if you are a computer science student or educator looking for a practical example of deep Q-learning applied to a pathfinding problem.
Not ideal if you are looking for a ready-to-use game or a general-purpose navigation system for real-world applications.
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Language
Python
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Last pushed
Jun 24, 2021
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