Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA

This letter explores a deep reinforcement learning (DRL) approach for designing image-based control for edge robots to be implemented on Field Programmable Gate Arrays (FPGAs). Although FPGAs are more power-efficient than CPUs and GPUs, a typical DRL method cannot be applied since they are composed...

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