Analysis of Hardware Acceleration Technology for Deep Reinforcement Learning Based on FPGA
This paper expounds the characteristics of FPGA accelerator technology in speech recognition,image recognition processing,optimization strategies,and hardware templates,as well as the feasibility of accelerating deep learning on FPGA.It analyzes the application of FPGA accelerator,explores the hardware template,performance,and power consumption level of FPGA accelerator for accelerating deep reinforcement learning,and proposes a training method for FPGA accelerator.