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

arXiv:2610.28699v1 Announce Type: cross 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