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UW and NVIDIA's SGS Trains Real Robots Across a Million Simulated Environments

Success-Guided Sampling fixes a wasted-batch problem in massively parallel RL, letting PPO scale past a million simulated robots and transfer to real hardware.

UW and NVIDIA's SGS Trains Real Robots Across a Million Simulated Environments
Source
AlphaSignal
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AlphaSignal Newsroom
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1 min read

Success-Guided Sampling fixes a wasted-batch problem in massively parallel RL, letting PPO scale past a million simulated robots and transfer to real hardware.

Reporting is indexed from AlphaSignal. Rights remain with the original publisher and cited sources.

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