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ChronoSRL aims to measure time to a goal through embedding distance
Its developer says the self-supervised reinforcement learning method gives its critic a “temporal geometry,” reflecting how a goal close in space can be far away in time.
TLDR
ChronoSRL’s developer says the method is designed so distances between embeddings measure the time needed to reach a goal. The announcement also invites readers to try its policy on a quadruped task and other tasks.
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