Preprint
Jul 2026
Flow-aware Optimal Navigation in Unsteady Flows through Reinforcement Learning
A reinforcement learning approach using the TD3 algorithm to train autonomous agents to reach arbitrary targets within a parametric, chaotic double-gyre flow is presented and a trade-off in sensor utility is revealed: velocity-aware agents optimize energy efficiency, whereas vorticity sensors provide superior structural mapping and achieve better target proximity.
Andrea Braghin, Nicolò Botteghi, Matteo Tomasetto et al.
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