Adaptive rocket trajectory optimization via reinforcement learning and FPGA acceleration
This paper presents an integrated framework for reusable rocket trajectory optimization that combines deep reinforcement learning with FPGA-based inference acceleration. The proposed Adaptive Hardware-Accelerated Twin Delayed Deep Deterministic Policy Gradient (AHA-TD3) framework couples a hierarchical control policy,...
Wen-Gang Yao, Yang-Ming Guo, Limin Mao et al.
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