https://github.com/beegass/ai-project2
In the class CS-4341, Artificial Intelligence, we were tasked to build an agent that could play the game of Gomoku. In order to achieve this the team implemented the MiniMax algorithm, Alpha-beta-pruning as well as our own understanding of evualtion function to facilitate the previous two algorithms. Additionally to aide in the agents compentency the team built, from scratch, a linear neural network.
https://github.com/beegass/ai-project2
alpha-beta-pruning artificial-intelligence evaluation-functions gomoku minimax-algorithm
Last synced: 5 months ago
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In the class CS-4341, Artificial Intelligence, we were tasked to build an agent that could play the game of Gomoku. In order to achieve this the team implemented the MiniMax algorithm, Alpha-beta-pruning as well as our own understanding of evualtion function to facilitate the previous two algorithms. Additionally to aide in the agents compentency the team built, from scratch, a linear neural network.
- Host: GitHub
- URL: https://github.com/beegass/ai-project2
- Owner: BeeGass
- Created: 2020-09-28T01:55:25.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2021-04-13T22:37:44.000Z (about 4 years ago)
- Last Synced: 2024-10-10T02:40:56.268Z (9 months ago)
- Topics: alpha-beta-pruning, artificial-intelligence, evaluation-functions, gomoku, minimax-algorithm
- Language: Python
- Homepage: https://github.com/BeeGassy/AI_Project2
- Size: 1.2 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 6