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DIFFTAICHI: DIFFERENTIABLE PROGRAMMING FOR PHYSICAL SIMULATION

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hardmaru 😷: DiffTaichi: Differentiable Programming for Physical Simulation “Using our differentiable programs, neural network controllers are typically optimized within only tens of iterations.” When we have good priors about the world, it makes sense to use them! https://arxiv.org/abs/1910.00935 https://t.co/Xr0Yumj16N

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Lukas Mosser: More differentiable physics frameworks for all your deep learning needs!

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Greg: This is one of the most incredible papers I've read in the last year or so: Differentiable Programming for Physical Simulation: https://arxiv.org/abs/1910.00935 Source Code:https://github.com/yuanming-hu/difftaichi @LukePiette @shagun_mm I think you two might be interested in this!

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Eric Jang @ CoRL: Furthermore, the authors extend this software to implement differentiable physics simulators for a very impressive variety of sims (3d voxel mpm, liquids, rigid body) and even differentiable rendering ! (https://arxiv.org/pdf/1910.00935.pdf)

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Found on Oct 28 2019 at https://arxiv.org/pdf/1910.00935.pdf

PDF content of a computer science paper: DIFFTAICHI: DIFFERENTIABLE PROGRAMMING FOR PHYSICAL SIMULATION