Reinforcement learning for hardware acceleration and system-level optimization on FPGA and integrated-circuit platforms: A survey

arXiv:2610.28699v1 Announce Type: new Abstract: Reinforcement learning (RL) enables adaptive and autonomous decision-making in embedded, edge, and heterogeneous computing systems. Field-programmable gate arrays (FPGAs) and integrated circuits (ICs) offer low latency, energy efficiency, and architec…

Read the full story at arXiv cs.LG ↗

Timeline · 1 report

1. 2026-10-22 04:00 · arXiv cs.LG
   Reinforcement learning for hardware acceleration and system-level optimization on FPGA and integrated-circuit platforms: A survey