Founder @ General Reasoning Lab | prev @Columbia | AI Researcher | Building AI-native Products

Palo Alto, CA
Joined March 2025
This new paper is a fascinating read! ๐Ÿค–๐Ÿ“„ Unlike RISE and WMPO, this approach achieves robot policy self-improvement without relying on a world model. It drives the learning only through an ingenious reward design. This is huge news for post-deployment robot manipulation! ๐Ÿš€
Introduce SARM2 ๐Ÿค–a multi-task stage-aware reward model that empowers a self-improving loop: ๐Ÿงบ Folding Shorts 58% โ†’ 100% ๐Ÿงฝ Cleaning Whiteboard 50% โ†’ 90% Paper + project page below ๐Ÿ‘‡ (1/n)
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