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cs.LG2026
Neural Constitutive Learning for Generalized Reaction-Diffusion Systems
Shang-Ke Chen, Yu-Peng Wang, Shih-Hsuan Hung +4
Generalized reaction-diffusion systems encompass diverse transport mechanisms and coupled reaction kinetics. A central question for neural PDE solvers is what should be learned so…
cs.LG2024
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow
Chen-Hao Chao, Chien Feng, Wei-Fang Sun +3
Existing Maximum-Entropy (MaxEnt) Reinforcement Learning (RL) methods for continuous action spaces are typically formulated based on actor-critic frameworks and optimized through a…