Serpinco_ and snake-on-pygame

Both projects are competitor implementations of AI agents, specifically using Deep Q Networks, to play the classic Snake game.

Serpinco_
39
Emerging
snake-on-pygame
36
Emerging
Maintenance 6/25
Adoption 5/25
Maturity 16/25
Community 12/25
Maintenance 0/25
Adoption 5/25
Maturity 16/25
Community 15/25
Stars: 11
Forks: 2
Downloads:
Commits (30d): 0
Language: Python
License: GPL-3.0
Stars: 11
Forks: 4
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About Serpinco_

7enTropy7/Serpinco_

A Deep Q Network A.I agent that plays the old classic Nokia Snakes Game!

This project offers a pre-trained AI that autonomously plays the classic Nokia Snake game. It takes the game's visual state as input and outputs game-playing actions, allowing you to observe a Deep Reinforcement Learning agent in action. Anyone interested in seeing AI agents trained to master simple games would find this engaging.

AI-demonstration game-AI reinforcement-learning-example classic-gaming gameplay-automation

About snake-on-pygame

voaneves/snake-on-pygame

Snake game implemented in Pygame that can be controlled by human input and AI agents (DQN). Who's best? :snake: :robot:

This project offers a version of the classic Snake game that can be played by humans or controlled by an artificial intelligence (AI) agent. You input your moves directly, or an AI agent processes game states (like snake and food positions) to make its own moves. It's designed for anyone interested in playing the Snake game or observing how AI (specifically Deep Q-Networks) learns to play.

casual-gaming AI-demonstration human-AI-comparison game-playing reinforcement-learning-example

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