Reinforcement learning for hardware acceleration and system-level optimization on FPGA and integrated-circuit platforms: A survey
arXiv 2610.28699v1•0ed17346d049656f12fa2db8377c7e0bc2f1ea8b895af75ab897e633a2d75cb4
Paper metadata
- arXiv ID
- 2610.28699
- Version
- v1
- Category
- cs.AI, cs.AR, cs.LG, cs.PF, cs.RO, cs.SY, eess.SY
- Authors
- Hamza Kheddar
- Publication date
- 2026-10-22T04:00:00Z
- Source identifier
- 2610.28699v1
- Public record ID
- record:sha256:0ed17346d049656f12fa2db8377c7e0bc2f1ea8b895af75ab897e633a2d75cb4
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Evidence and limitations
- Source ID
- arxiv_research
- Record identifier
- 0ed17346d049656f12fa2db8377c7e0bc2f1ea8b895af75ab897e633a2d75cb4
- Record type
- Source metadata
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