Reinforcement learning for hardware acceleration and system-level optimization on FPGA and integrated-circuit platforms: a survey
Read the original at arxiv.org→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...
Original headline: "Reinforcement learning for hardware acceleration and system-level optimization on FPGA and integrated-circuit platforms: A survey"
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- Oct 22, 04:00 UTC arXiv cs.LG lead source Reinforcement learning for hardware acceleration and system-level optimization on FPGA and integrated-circuit platforms: A survey