README.md

metadata

title: Car Racing Agent
emoji: 🏎️
colorFrom: yellow
colorTo: yellow
sdk: gradio
sdk_version: 6.12.0
app_file: app.py
pinned: true
license: apache-2.0
tags:
  - reinforcement-learning
  - curriculum-learning
  - torchrl
  - ppo
  - openenv
  - pygame
short_description: A PPO agent trained from scratch on 10 curriculum tracks.

Car Racing Agent

Live demo of a PPO car-racing agent trained from scratch across a 10-track curriculum — zero crashes on the full curriculum.

• Blog post: https://huggingface.co/blog/NirmalPratheep/curriculum-car-racer
• Source / training code: https://github.com/NirmalPratheep/curriculum-car-racer
• OpenEnv Student Challenge 2026 submission.

How to use

1. Pick a track from the dropdown (Track 01 → Track 10).
2. Click Reset to spawn the agent.
3. Click Step ×20 to advance physics a chunk at a time, or Auto-Drive to run a full lap and get a replay video.

The orange-bordered thumbnail is the actual 64×64 egocentric image the CNN receives every step — always rotated so the car faces up.