Snake-Ai
Visit Toolsnake-ai is an AI agent that beats the classic game "Snake." It uses deep reinforcement learning with MLP and CNN models to achieve high scores.
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snake-ai is an AI agent that beats the classic game "Snake." It uses deep reinforcement learning with MLP and CNN models to achieve high scores.
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snake-ai is an open-source project featuring an AI agent designed to master the classic game "Snake." The agent is trained using deep reinforcement learning, offering two distinct versions: one based on a Multi-Layer Perceptron (MLP) and another utilizing a Convolutional Neural Network (CNN). The CNN-based agent demonstrates superior performance, consistently achieving higher average game scores. The project provides program scripts for the game itself, along with trained models for both AI versions, allowing users to test and observe their performance. It also includes scripts for retraining models and viewing training process curves via Tensorboard, making it a valuable resource for those interested in practical applications of deep reinforcement learning in gaming.
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