Traversal-as-Policy: Log-Distilled Gated Behavior Trees as Externalized, Verifiable Policies for Safe, Robust, and Efficient Agents
arXiv 2603.05517•398bb1fef2650ad6158eeb32cd1cf946a91aaf1445b6bfece7c6b9d1db330d3a
CDDSFuseDiffGated Behavior TreesIntSeqBERTJacobian regularizationKoopman autoencoderLLM agentsOEISVDCookagent safetycross-modal alignmentdata provenancediffusion modelsdual-target drug designmodel stabilitymodulo embeddingsmultimodalocean forecastingoperator learningpolicy distillationsandboxingsequence modelssurrogate modelssynthetic datavideo dataset construction
Paper metadata
- arXiv ID
- 2603.05517
- Version
- Not specified by this published record
- Category
- Computer Science — Machine Learning (cs.LG)
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Evidence and limitations
- Source ID
- arxiv_cs_lg
- Record identifier
- 398bb1fef2650ad6158eeb32cd1cf946a91aaf1445b6bfece7c6b9d1db330d3a
- Enrichment time
- 2026-03-09T08:52:15Z
- AI-assisted enrichment
- Yes
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