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A global platform for reinforcement learning. Compete on standardized environments, share your models, and advance the state of the art.

Joined March 2022
Photo by SAI (@CompeteSai)Photo by SAI (@CompeteSai)Photo by SAI (@CompeteSai)Photo by SAI (@CompeteSai)Photo by SAI (@CompeteSai)Photo by SAI (@CompeteSai)Photo by SAI (@CompeteSai)Photo by SAI (@CompeteSai)Photo by SAI (@CompeteSai)Photo by SAI (@CompeteSai)
What happens when you remove a robot's ability to read its instructions? Almost nothing. > Full model → 95% success > Remove language → 94% (▼1%) > Remove vision → 13% (▼82%) Near-blind without vision. Near-indifferent to language. If your evaluation only tests correct instructions, you're not measuring language. You're measuring vision.
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A robot receives a language command "pick up the black bowl and place it on the plate" and executes it. We replaced the command with: "My name is Franka." No task. No object. No action verb. It picked up the bowl and placed it on the plate. The language instruction isn't being read. The scene is being acted upon. The prompt is decoration.
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We’re hiring a Machine Learning Engineer! With a twist… Your application? A trained model for Franka Golf on SAI. About the challenge: Franka Golf is a precision manipulation environment where a 7‑DOF Franka robotic arm must play mini‑golf by grasping a club and striking a ball toward a hole. It combines object interaction, tool use, and trajectory planning into one unified task. When the competition ends, the top 10 submissions that complete the challenge at least once will be invited to a technical interview to join our Machine Learning team. Think you have what it takes? Connect your LinkedIn, submit your model, and apply to the post.
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