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News/ACT-JEPA: Novel Joint-Embedding Predictive Architecture for Efficient Policy Representation Learning
arxiv
PublishedJune 25, 2026 at 4:00 AM
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ACT-JEPA: Novel Joint-Embedding Predictive Architecture for Efficient Policy Representation Learning

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arXiv:2501.14622v5 Announce Type: replace Abstract: Learning efficient representations for decision-making policies is a challenge in imitation learning (IL). Current IL methods require expert demonstrations, which are expensive to collect. Additionally, they are not explicitly trained to understand

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