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DIFFTAICHI: DIFFERENTIABLE PROGRAMMING FOR PHYSICAL SIMULATION

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Oct 28 2019 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
9 replies, 730 likes


Oct 28 2019 Lukas Mosser

More differentiable physics frameworks for all your deep learning needs!
0 replies, 10 likes


Jan 29 2020 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!
0 replies, 3 likes


Oct 30 2019 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)
1 replies, 0 likes


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