Upload README.md

README.md

@@ -1,14 +1,38 @@
 ---
 title: Car Racing Agent
-emoji: 🏃
-colorFrom: gray
-colorTo: pink
+emoji: 🏎️
+colorFrom: yellow
+colorTo: yellow
 sdk: gradio
-sdk_version: 6.13.0
+sdk_version: 6.12.0
 app_file: app.py
-pinned: false
+pinned: true
 license: apache-2.0
-short_description: Trained using Curriculum based PPO Agent
+tags:
+  - reinforcement-learning
+  - curriculum-learning
+  - torchrl
+  - ppo
+  - openenv
+  - pygame
+short_description: A PPO agent trained from scratch on 10 curriculum tracks.
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 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.