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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,…
AI Summary & Key Takeaways
- 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
Self-Supervised Keyframe Discovery for Horizon-Invariant Behavior Cloning
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