2 papers
math.NA2024
An inexact augmented Lagrangian algorithm for unsymmetric saddle-point systems
N. Huang, Y. -H. Dai, D. Orban +1
Augmented Lagrangian (AL) methods are a well known class of algorithms for solving constrained optimization problems. They have been extended to the solution of saddle-point system…
cs.IR2023
Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems
Zhaochun Ren, Na Huang, Yidan Wang +7
Learning reinforcement learning (RL)-based recommenders from historical user-item interaction sequences is vital to generate high-reward recommendations and improve long-term cumul…