Built a browser-based RL training platform with HuggingFace model sharing — feedback welcome

Hey HuggingFace community I’ve been working on Agenlus — a platform where you can train RL agents directly in your browser (no install, WebGPU-accelerated) and share your trained models to HuggingFace. The idea is simple: train an agent on CartPole, MountainCar, or battle environments, then push your model straight to HF so others can load, compare, and build on it. Right now the flow is: 1. Train in browser → 2. Push to HuggingFace → 3. Others can load and battle your agent on the leaderboard The HF integration was the piece I was most excited about — RL models have always been weirdly hard to share in a standardized way. HuggingFace already solved this for NLP and CV, so it felt natural to plug into that ecosystem for RL. Would love feedback from this community especially — are there model formats or metadata standards I should be following to make the models more useful/interoperable? agenlus.com Launching on Product Hunt soon