HIGHLIGHTS
- who: Without Smoothing and collaborators from the (UNIVERSITY) have published the research work: Smooth Model Predictive Path Integral Control Without Smoothing, in the Journal: (JOURNAL)
- what: The authors propose a method that seamlessly combines MPPI with an input-lifting strategy. The authors propose to model such complex and nonlinear dynamics using a neural_network with state-action history, which enables the network to capture time-varying behavior .
- how: The authors designed the dynamics model with two fully-connected hidden layers each with 32 neurons. The authors collected a human-controlled driving dataset in a . . .
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