I built a HuggingFace-style platform for RL agents — train, share, and battle in your browser
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RL has always felt weirdly isolated compared to the rest of ML. In NLP or CV, you can grab a pretrained model from HuggingFace, fine-tune it, share it back, and build on what others made. The whole ecosystem compounds. RL doesn’t really have that. You train locally, maybe upload a video, and that’s it. No standard way to share agents, no way to see what others are building, no community around the models themselves. So I built Agenlus. Train RL agents directly in your browser (no install, WebGPU-accelerated), share them via HuggingFace integration, and throw them into battles against other people’s agents on a global leaderboard. The goal is to make RL feel less like a solo research exercise and more like a living ecosystem where agents and ideas compound on each other. Would love feedback from people actually doing RL — what environments would make this useful for you? Link agenlus.com submitted by /u/Perfect_Power815 |
