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SHM-POMDP achieves 2.5x higher information gain in geologic exploration while maintaining principled uncertainty quantification.
VOiLA achieves a threefold reduction in sampling costs, making learned POMDP models viable for real-time robotic planning.
LLMs can't hold a candle to a well-tuned POMDP solver when it comes to efficiently finding objects in the real world.
