# linyiLYi/street-fighter-ai

This is an AI agent for Street Fighter II Champion Edition.

Repository: https://github.com/linyiLYi/street-fighter-ai
Canonical: https://ross.abutalabs.com/products/street-fighter-ai
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2024-05-14T22:46:22+00:00

## Health v2 (maintenance only)
Score: 30/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 89
- inputs: {"age_days": 1255, "days_push": 841, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6521, forks 1376 (observed 2026-08-28T04:09:44.885095+00:00)

## What it is
An AI agent trained with deep reinforcement learning to beat the final boss of Street Fighter II: Special Champion Edition, making decisions purely from game screen RGB pixels. It is a Python project built on OpenAI Gym Retro and Stable-Baselines3, including training scripts, logs, and pretrained model weights.

## Use cases
- train an AI to play Street Fighter II
- learn deep reinforcement learning with a game example
- use gym-retro with stable-baselines3
- train an agent from raw pixel values
- reproduce a game-playing RL agent
- study RL training curves and checkpoints

## When to choose
- you want a hands-on, well-starred example of deep RL applied to a retro game
- you need a reference for combining gym-retro with Stable-Baselines3
- you want pretrained weights to inspect agent behavior at different training stages

## When to avoid
- you need a general game-playing AI rather than one overfit to a specific boss fight
- you cannot legally obtain the Street Fighter II ROM
- you need production-grade RL infrastructure or multi-game support

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: reinforcement-learning, machine-learning, deep-learning, game-engine, simulation
- domain: reinforcement-learning, machine-learning, artificial-intelligence
- platform: python, windows
- tags: deep-reinforcement-learning, gym-retro, stable-baselines3, street-fighter, game-ai, tutorial-project, game-development, desktop

## Member repositories
- linyiLYi/street-fighter-ai (main) score 30

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:44.885095+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:44:25.297004+00:00, confidence not recorded.
  - readme: https://github.com/linyiLYi/street-fighter-ai (fetched 2026-08-28T04:09:44.885095+00:00, sha ea0bf3c5f230)
- Data as of 2026-08-30T08:39:29.467469+00:00.