Taichi Blogs

Note: If you have any comments or suggestions regarding the content of this article, you can contact the author of the original post.

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.