🐍 A snake game written in Python using the Pygame library
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Updated
Jul 11, 2024 - Python
🐍 A snake game written in Python using the Pygame library
AI research environment for the game of Snake 🐍 .
Using deep reinforcement learning to play Snake game(贪吃蛇).
Developing a neural network to play a snake game
AI plays snake game using BFS (Breadth-First Search) algorithm.
This repository focuses on the collaborative development of a snake game using the AutoGen framework. Leveraging multiple agents, each with a distinct role, the project aims to design, implement, and test a snake game that is both entertaining and challenging.
training snake game using neural network and genetic algorithm
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The Original Snake Game. Maneuver a snake in its burrow and earn points while avoiding the snake itself and the walls of the snake burrow.
This repository contains 5 games build using python turtle module.
Multiplayer snake AI
Genetic Algorithm and Neural Network for the snake game.
A self-learning snake game implemented using NEAT algorithm
Multi agent gym environment based on the classic Snake game with implementations of various reinforcement learning algorithms in pytorch
🐍 Snake game implementation in Python
Playing snake game using machine learning (Q-Learning, DQN, SARSA)
This is a basic version of snake game. As it moves forward, it leaves a trail behind, resembling a moving snake. The player loses when the snake runs into the screen border or itself. A sole player attempts to eat apples by running into them. Each apple eaten makes the snake longer.
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