Energy-efficient FPGA acceleration of reinforcement learning algorithms using high-level synthesis
The results show that pipelined fixed-point FPGA architectures are a good solution to speed up the reinforcement learning process in resource-limited embedded systems.
Umamaheswari Ramalingam, N. S, K. Chan et al.
· International Review of Appl... · 0 citations