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Running on Zero
Running on Zero
| title: Representation Over Routing Demo | |
| emoji: 🚀 | |
| colorFrom: blue | |
| colorTo: indigo | |
| sdk: gradio | |
| sdk_version: 6.14.0 | |
| python_version: '3.13' | |
| app_file: app.py | |
| pinned: false | |
| license: cc-by-4.0 | |
| short_description: Interactive LunarLander demo for Representation over Routing | |
| models: | |
| - ben-dlwlrma/Representation-Over-Routing | |
| # Representation over Routing Demo | |
| Interactive demo for the preprint **"Representation over Routing: Overcoming Surrogate Hacking in Multi-Timescale PPO"**. | |
| This Space visualizes the four pretrained ablation-stage agents from the associated model repository. The default selection shows **Stage 4: Target Decoupling**, the proposed method, performing a LunarLander rollout with a fixed deterministic demo seed. | |
| ## Links | |
| * **Paper:** https://arxiv.org/abs/2604.13517 | |
| * **Model Weights:** https://huggingface.co/ben-dlwlrma/Representation-Over-Routing | |
| * **GitHub Repository:** https://github.com/ben-dlwlrma/Representation-Over-Routing | |
| ## Notes | |
| The paper experiments were conducted on `LunarLander-v2`. This hosted demo uses `LunarLander-v3` for compatibility with current Gymnasium releases, while keeping the same actor architecture and pretrained weights. | |