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Equipping characters with diverse motor skills is the current bottleneck of physics‐based character animation. We propose a Deep Reinforcement Learning (DRL) framework that enables physics‐based characters to learn and explore motor skills from reference motions. The key insight is to use loose space‐time constraints, termed spacetime bounds, to limit the search space in an early termination fashion...
In character animation, direction invariance is a desirable property. That is, a pose facing north and the same pose facing south are considered the same; a character that can walk to the north is expected to be able to walk to the south in a similar style. To achieve such direction invariance, the current practice is to remove the facing direction's rotation around the vertical axis before further...
Deep geological disposal is an internationally accepted way to deal with high-level radioactive waste. A better understanding of mechanical characteristics of host rock is very important for the stability of underground excavation and its long-term safety during operation. In the present study, tests have been performed using a true triaxial rock test system in combination with acoustic emission monitoring...
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