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标题为英语Self-Supervised Keyframe Discovery for Horizon-Invariant Behavior Cloning

Behavior cloning (BC) in non-Markovian environments is a challenging problem because policies have to reason over contextual information over long horizons. Existing policy architectures rely on recurrent or attention-based mechanisms to capture long-term dependencies. However,…

arXiv — cs.AI作者: Prabin Kumar Rath, Omkar Patil, Nakul Gopalan2026年10月9日 (10月9日)
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  • Behavior cloning (BC) in non-Markovian environments is a challenging problem because policies have to reason over contextual information over long horizons
  • Existing policy architectures rely on recurrent or attention-based mechanisms to capture long-term dependencies
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Self-Supervised Keyframe Discovery for Horizon-Invariant Behavior Cloning

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