Emergent Sparsity in Frozen Random CNN Feature Extractors for Deep Reinforcement Learning
arXiv 2607.26059•e4adb0f18bf418be6f0e339b5f09ec1a50d14865e42e3d0966922631c561fc0f
LoRAdeep-reinforcement-learningdynamic-inference-auditingknowledge-distillationlarge-language-modelsmachine-learningmodel-alignmentreinforcement-learning-from-human-feedbackresearch-abstractsspectroscopysports-analyticstransformers
Paper metadata
- arXiv ID
- 2607.26059
- 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
- e4adb0f18bf418be6f0e339b5f09ec1a50d14865e42e3d0966922631c561fc0f
- Enrichment time
- 2026-07-30T08:52:05Z
- AI-assisted enrichment
- Yes
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