Training a magic fountain using Taichi's autodiff, an efficient tool for differentiable physical simulation
With the generated gradient information, a differentiable physical simulator can make the convergence of the machine learning process one order of magnitude faster than gradient-free algorithms, such as model-free reinforcement learning.