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Quadruped robots can now learn to navigate complex, real-world environments in minutes, not hours, thanks to a new RL framework that prioritizes safety and efficient exploration.
Current language agents are still far from matching human expert performance when faced with real-world professional tasks requiring complex reasoning, authoritative source retrieval, and domain-specific knowledge, as revealed by the new \$OneMillion-Bench benchmark.
