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Too Stiff, Too Strong, Too Smart: Evaluating Fundamental Problems with Motion Control Policies
(ACM Association for Computing Machinery, 2023)
Deep reinforcement learning (DRL) methods have demonstrated impressive results for skilled motion synthesis of physically based characters, and while these methods perform well in terms of tracking reference motions or ...
A comparison of linear consistent correction methods for first-order SPH derivatives
(ACM Association for Computing Machinery, 2023)
Awell-known issue with the widely used Smoothed Particle Hydrodynamics (SPH) method is the neighborhood deficiency. Near the surface, the SPH interpolant fails to accurately capture the underlying fields due to a lack of ...