Popular GitHub Repositories for Snake

Artificial intelligence for the Snake game.

Awesome Projects in Python - Machine Learning Applications, Games, Desktop Applications all in Python :snake:

AI for Snake game trained from pixels using Deep Reinforcement Learning (DQN).

AI trained using Genetic Algorithm and Deep Learning to play the game of snake

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

深度强化学习贪吃蛇游戏。拥有完整游戏环境与AI接口。（项目未完成）

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.

Using deep reinforcement learning to play Snake game. The used algorithm is PPO for discrete! It has the brilliant performance in the field of discrete action space just like in continuous action space. You just need half an hour to train the snake and then it can be as smart as you.|使用深度强化学习玩蛇游戏。 使用的算法是离散的 PPO！ 它在离散动作空间领域有着与连续动作空间一样的出色表现。

Winner of The Lucky Wheel Hackathon: https://theluckywheel.techatjasmin.com/#results. A 3D snake game written in threejs, which uses Tensorflow (ML) to control the snake with head movements. Move your head left and right to control the snake and open your mouth to make the snake slower! All magic is rendered on the screen using Canvas API.

Snake using RL

Snake Robot Reinforcement Learning Environment

Snake learns to play. A reinforcement learning-based AI that learns to play the classic Snake game autonomously.

Snake AI, Genetic Algorithm, Rust

Multi agent gym environment based on the classic Snake game with implementations of various reinforcement learning algorithms in pytorch

This is a self-played snake game that uses genetic algorithm and neural network to learn and improve its gameplay over time. The game is built using the p5.js library for graphics and user interface, and the tensorflow.js and neataptic libraries for machine learning.

Developing a deep neural network to play a snake game

? A snake game using Pytorch and Numpy (old-version using Pygame). ? 基于pytorch和numpy的贪吃蛇强化学习模型