mario-ai and Super-Mario-AI

mario-ai

Established

Super-Mario-AI

Experimental

Maintenance 0/25

Adoption 10/25

Maturity 16/25

Community 25/25

Maintenance 10/25

Adoption 3/25

Maturity 11/25

Community 0/25

Stars: 695

Forks: 142

Downloads: —

Commits (30d): 0

Language: Lua

License: MIT

Stars: 3

Forks: —

Downloads: —

Commits (30d): 0

Language: Python

License: MIT

Stale 6m No Package No Dependents

No Package No Dependents

About mario-ai

aleju/mario-ai

Playing Mario with Deep Reinforcement Learning

This project offers a way to train a digital agent to play the classic video game Super Mario World using only the game's visuals as input. The agent learns to press the right buttons by observing the screen, trying different actions, and remembering what leads to success or failure. This tool is for researchers or enthusiasts in artificial intelligence who want to experiment with creating smart agents for games.

artificial-intelligence game-AI reinforcement-learning computer-vision game-agent-training

About Super-Mario-AI

Lollorm/Super-Mario-AI

Training AI Agents to Beat Super Mario Bros and Super Mario World Using Multiple Algorithms

This project offers pre-built AI agents capable of playing Super Mario Bros and Super Mario World. It takes the game's visual input and outputs button presses to navigate levels. Game developers, AI researchers, or enthusiasts can use this to explore how different AI techniques can master complex game environments.

game-AI reinforcement-learning game-development AI-research evolutionary-algorithms

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mario-ai and reinforcement-learning-game

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