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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 ...