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cs.LG2025
LinguaFluid: Language Guided Fluid Control via Semantic Rewards in Reinforcement Learning
Aoming Liang, Chi Cheng, Dashuai Chen +2
In the domain of scientific machine learning, designing effective reward functions remains a challenge in reinforcement learning (RL), particularly in environments where task goals…
cs.LG2024
LE-PDE++: Mamba for accelerating PDEs Simulations
Aoming Liang, Zhaoyang Mu, Qi liu +3
Partial Differential Equations are foundational in modeling science and natural systems such as fluid dynamics and weather forecasting. The Latent Evolution of PDEs method is desig…
cs.LG2024★ 1 cited
MM: Learning controllable Multi of experts and multi-scale operators are the Partial Differential Equations need
Aoming Liang, Zhaoyang Mu, Pengxiao Lin +5
Learning the evolutionary dynamics of Partial Differential Equations (PDEs) is critical in understanding dynamic systems, yet current methods insufficiently learn their representat…