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QForce-RL: Quantized FPGA-Optimized Reinforcement Learning Compute Engine

Jha, Anushka et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitionhardware-architectureimage-and-video-processingrobotics
Reinforcement Learning (RL) has outperformed other counterparts in sequential decision-making and dynamic environment control. However, FPGA deployment is significantly resource-expensive, as associated with large number of computations in training agents with high-quality images and possess new cha
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