38 citations · 78 across the 11 of their papers we have counts for
3 papers · 1 filter
Offline Reinforcement Learning via Linear-Programming with Error-Bound Induced Constraints
Asuman Ozdaglar, Sarath Pattathil, Jiawei Zhang +1
Offline reinforcement learning (RL) aims to find an optimal policy for Markov decision processes (MDPs) using a pre-collected dataset. In this work, we revisit the linear programmi…
On the Iteration Complexity of Smoothed Proximal ALM for Nonconvex Optimization Problem with Convex Constraints
Jiawei Zhang, Wenqiang Pu, Zhi-Quan Luo
It is well-known that the lower bound of iteration complexity for solving nonconvex unconstrained optimization problems is , which can be achieved by standard gradient de…
What is a Good Metric to Study Generalization of Minimax Learners?
Asuman Ozdaglar, Sarath Pattathil, Jiawei Zhang +1
Minimax optimization has served as the backbone of many machine learning (ML) problems. Although the convergence behavior of optimization algorithms has been extensively studied in…