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Motion mimicking is a foundational task in physics-based character animation.
Dynamic programming algorithm optimization for spoken word recognition
Hiroaki Sakoe and Seibi Chiba · 1978
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A focused backpropagation algorithm for temporal pattern recognition
Michael C. Mozer · 1989
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A learning algorithm for continually running fully recurrent neural networks
Ronald J Williams and David Zipser · 1989
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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A differentiable physics engine for deep learning in robotics
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Searching for activation functions
Prajit Ramachandran, Barret Zoph, and Quoc V Le · 2017
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Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
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Hierarchical visuomotor control of humanoids
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Drecon: data-driven responsive control of physics-based characters
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Physics-based full-body soccer motion control for dribbling and shooting
Seokpyo Hong, Daseong Han, Kyungmin Cho, Joseph S Shin, and Junyong Noh · 2019
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Chainqueen: A real-time differentiable physical simulator for soft robotics
Yuanming Hu, Jiancheng Liu, Andrew Spielberg, Joshua B Tenenbaum, William T Freeman, Jiajun Wu, Daniela Rus, and Wojciech Matusik · 2019
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Scalable muscle-actuated human simulation and control
Seunghwan Lee, Moonseok Park, Kyoungmin Lee, and Jehee Lee · 2019
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Learning predict-and-simulate policies from unorganized human motion data
Soohwan Park, Hoseok Ryu, Seyoung Lee, Sunmin Lee, and Jehee Lee · 2019
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Mcp: Learning composable hierarchical control with multiplicative compositional policies
Xue Bin Peng, Michael Chang, Grace Zhang, Pieter Abbeel, and Sergey Levine · 2019
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On the continuity of rotation representations in neural networks
Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, and Hao Li · 2019
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Comic: Complementary task learning & mimicry for reusable skills
Leonard Hasenclever, Fabio Pardo, Raia Hadsell, Nicolas Heess, and Josh Merel · 2020
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Difftaichi: Differentiable programming for physical simulation
Yuanming Hu, Luke Anderson, Tzu-Mao Li, Qi Sun, Nathan Carr, Jonathan Ragan-Kelley, and Frédo Durand · 2020
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Visual grounding of learned physical models
Yunzhu Li, Toru Lin, Kexin Yi, Daniel Bear, Daniel L.K. Yamins, Jiajun Wu, Joshua B. Tenenbaum, and Antonio Torralba · 2020
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Carl: Controllable agent with reinforcement learning for quadruped locomotion
Ying-Sheng Luo, Jonathan Hans Soeseno, Trista Pei-Chun Chen, and Wei-Chao Chen · 2020
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A scalable approach to control diverse behaviors for physically simulated characters
Amp: Adversarial motion priors for stylized physics-based character control
Xue Bin Peng, Ze Ma, Pieter Abbeel, Sergey Levine, and Angjoo Kanazawa · 2021
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Differentiable simulation of soft multi-body systems
Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, and Ming Lin · 2021
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Efficient hyperparameter optimization for physics-based character animation
Zeshi Yang and Zhiqi Yin · 2021
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Imitation learning via differentiable physics
Siwei Chen, Xiao Ma, and Zhongwen Xu · 2022
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Diffcloth: Differentiable cloth simulation with dry frictional contact
Yifei Li, Tao Du, Kui Wu, Jie Xu, and Wojciech Matusik · 2022
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Jungdam Won, Deepak Gopinath, and Jessica Hodgins · 2020
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Brax–a differentiable physics engine for large scale rigid body simulation
C Daniel Freeman, Erik Frey, Anton Raichuk, Sertan Girgin, Igor Mordatch, and Olivier Bachem · 2021
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Supertrack: Motion tracking for physically simulated characters using supervised learning
Levi Fussell, Kevin Bergamin, and Daniel Holden · 2021
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Plasticinelab: A soft-body manipulation benchmark with differentiable physics
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gradsim: Differentiable simulation for system identification and visuomotor control
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Learning and exploring motor skills with spacetime bounds
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Isaac gym: High performance GPU based physics simulation for robot learning
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Xingyu Lin, Zhiao Huang, Yunzhu Li, Joshua B. Tenenbaum, David Held, and Chuang Gan · 2022
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Ase: Large-scale reusable adversarial skill embeddings for physically simulated characters
Xue Bin Peng, Yunrong Guo, Lina Halper, Sergey Levine, and Sanja Fidler · 2022
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3d animation and 2d cartoons made simple, 2022
Reallusion · 2022
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Do differentiable simulators give better policy gradients?
Hyung Ju Suh, Max Simchowitz, Kaiqing Zhang, and Russ Tedrake · 2022
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Mocapact: A multi-task dataset for simulated humanoid control
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Physics-based character controllers using conditional vaes
Jungdam Won, Deepak Gopinath, and Jessica Hodgins · 2022
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Accelerated policy learning with parallel differentiable simulation
Jie Xu, Viktor Makoviychuk, Yashraj Narang, Fabio Ramos, Wojciech Matusik, Animesh Garg, and Miles Macklin · 2022
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Differentiable physics simulations with contacts: Do they have correct gradients w.r.t. position, velocity and control?
Yaofeng Desmond Zhong, Jiequn Han, and Georgia Olympia Brikis · 2022
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