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Language to rewards for robotic skill synthesis

Google Research AI blog

Posted by Wenhao Yu and Fei Xia, Research Scientists, Google Empowering end-users to interactively teach robots to perform novel tasks is a crucial capability for their successful integration into real-world applications. To do so, we leverage reward functions as an interface that bridges the gap between language and low-level robot actions.

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