2 citations · 2 across the 3 of their papers we have counts for
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cs.AI2026
Neural Assistive Impulses: Synthesizing Exaggerated Motions for Physics-based Characters
Zhiquan Wang, Bedrich Benes
Physics-based character animation has become a fundamental approach for synthesizing realistic, physically plausible motions. While current data-driven deep reinforcement learning…
cs.AI2022★ 2 cited
Co-design of Embodied Neural Intelligence via Constrained Evolution
Zhiquan Wang, Bedrich Benes, Ahmed H. Qureshi +1
We introduce a novel co-design method for autonomous moving agents' shape attributes and locomotion by combining deep reinforcement learning and evolution with user control. Our ma…