Adaptive control method for morphing trailing-edge wing based on deep supervision network and reinforcement learning

Continuous control with deep reinforcement learning

Timothy Lillicrap, Jonathan J. Hunt, Alexander Pritzel et al. · arXiv (Cornell University) · 2016 · 6.8K citations · Full text

Computing, Computer Science, Physics +17

A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code

Michael D. McKay, Reginald Beckman, W. J. Conover · Technometrics · 1979 · 3.8K citations

Natural Sciences, Computer Science, Mathematics +17

Multivariate Density Estimation, Theory, Practice, and Visualization

Philip H. Ramsay, David W. Scott · Technometrics · 1993 · 997 citations

Computing, Visualization, Data Visualization +11

Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control

Jean Rabault, Miroslav Kuchta, Atle Jensen et al. · Journal of Fluid Mechanics · 2019 · 541 citations · Full text

Engineering, Computer Science, Mechanical Engineering +16

Model predictive control of three-axis gimbal system mounted on UAV for real-time target tracking under external disturbances

Aytaç Altan, Rıfat Hacıoğlu · Mechanical Systems and Signal Processing · 2020 · 537 citations · Full text

Engineering, Aerospace Engineering, Robotics Engineering +14