2 papers
cs.LG2026
Thompson Sampling-Based Learning and Control for Unknown Dynamic Systems
Kaikai Zheng, Dawei Shi, Yang Shi +1
Thompson sampling (TS) is a Bayesian randomized exploration strategy that samples options (e.g., system parameters or control laws) from the current posterior and then applies the…
physics.comp-ph2024
ALKPU: an active learning method for the DeePMD model with Kalman filter
Haibo Li, Xingxing Wu, Liping Liu +4
Neural network force field models such as DeePMD have enabled highly efficient large-scale molecular dynamics simulations with ab initio accuracy. However, building such models hea…