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    Navigation and trajectory planning in environments with background flow, relevant for robotics, are challenging provided information only on local surrounding. The authors propose a reinforcement learning approach for time-efficient navigation of a swimmer through unsteady two-dimensional flows.

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    • Researchers @peter_gunnarson, @MandralisYanni, @314159K, and colleagues propose a Deep #ReinforcementLearning approach for time-efficient #navigation of a #swimmer through unsteady two-dimensional #flows. @caltech #GettingApplied #NeuralNetworks https://t.co/33IICs6tdd