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Action-derived visual attention can boost robot task success rates by over 28% without relying on external labels.
Off-policy RL can now train in minutes instead of hours for sim-to-real robot control, thanks to a new algorithm that borrows scaling laws from supervised learning.
Forget simulated manipulation鈥擬anipulationNet offers a global infrastructure for benchmarking robots in the real world, complete with standardized hardware and software, to finally measure progress toward general manipulation.
