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cs.LG2025
Efficient Global-Local Fusion Sampling for Physics-Informed Neural Networks
Jiaqi Luo, Shixin Xu, Zhouwang Yang
The accuracy of Physics-Informed Neural Networks (PINNs) critically depends on the placement of collocation points, as the PDE loss is approximated through sampling over the soluti…
cs.LG2025
When a Reinforcement Learning Agent Encounters Unknown Unknowns
Juntian Zhu, Miguel de Carvalho, Zhouwang Yang +1
An AI agent might surprisingly find she has reached an unknown state which she has never been aware of -- an unknown unknown. We mathematically ground this scenario in reinforcemen…