While most #ML robotics research occurs in a fixed lab environment, as the field advances into complex and challenging real-world scenarios, using A/B testing to compare results of different models and lab settings is increasingly important. Learn more → https://t.co/L4LFOz8G6P https://t.co/mUmDlDTykV

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While most #ML robotics research occurs in a fixed lab environment, as the field advances into complex and challenging real-world scenarios, using A/B testing to compare results of different models and lab settings is increasingly important. Learn more → https://t.co/L4LFOz8G6P https://t.co/mUmDlDTykV

— Google AI (@GoogleAI) Jun 10, 2021

While most #ML robotics research occurs in a fixed lab environment, as the field advances into complex and challenging real-world scenarios, using A/B testing to compare results of different models and lab settings is increasingly important. Learn more → https://t.co/L4LFOz8G6P https://t.co/mUmDlDTykV http://twitter.com/GoogleAI/status/1403082499643875329 https://t.co/L4LFOz8G6P June 11, 2021 at 05:11AM