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Improving Gradient Computation for Differentiable Physics Simulation with Contacts
2023年6月21日 | Yaofeng "Desmond" Zhong
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Training a magic fountain using Taichi's autodiff, an efficient tool for differentiable physical simulation
2022年7月14日 | Mingrui Zhang
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.
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