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PM-FSM: Policies Modulating Finite State Machine for Robust Quadrupedal Locomotion
Compared with the TGs, FSMs offer high-level management on each leg motion generator and enable a flexible state arrangement, which makes the learned behavior less vulnerable to unseen perturbations or challenging terrains.
Application of Yolo on Mask Detection Task
An important aspect in reducing the impact of the pandemic is to control its spread.
Semi-Implicit Back Propagation
Neural network has attracted great attention for a long time and many researchers are devoted to improve the effectiveness of neural network training algorithms.
Fast Calculation of Probabilistic Optimal Power Flow: A Deep Learning Approach
Taking advantage of the deep structure and reconstructive strategy of stacked denoising auto encoders (SDAE), a SDAE-based optimal power flow (OPF) is developed to extract the high-level nonlinear correlations between the system operating condition and the OPF solution.
