opendilab/DI-sheep
羊了个羊 + 深度强化学习（Deep Reinforcement Learning + 3 Tiles Game)
This project helps demonstrate how artificial intelligence, specifically deep reinforcement learning, can learn to play complex puzzle games. It takes the game state of "Sheep a Sheep" ("Yang Le Yang") as input and outputs the AI's predicted best move, aiming to complete the game. It is designed for AI researchers, students, and enthusiasts interested in seeing practical applications of deep reinforcement learning in game environments.
489 stars. No commits in the last 6 months.
Use this if you want to explore or experiment with deep reinforcement learning algorithms applied to a tile-matching puzzle game.
Not ideal if you are solely looking for a game to play for entertainment, as its primary purpose is AI research and demonstration.
Stars
489
Forks
29
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 10, 2025
Commits (30d)
0
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