450 citations · 533 across the 14 of their papers we have counts for
5 papers · 1 filter
Pairwise Instance Relation Augmentation for Long-tailed Multi-label Text Classification
Lin Xiao, Pengyu Xu, Liping Jing +1
Multi-label text classification (MLTC) is one of the key tasks in natural language processing. It aims to assign multiple target labels to one document. Due to the uneven popularit…
Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games
Shicong Cen, Yuejie Chi, Simon S. Du +1
Multi-Agent Reinforcement Learning (MARL) -- where multiple agents learn to interact in a shared dynamic environment -- permeates across a wide range of critical applications. Whil…
Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies
Rui Yuan, Simon S. Du, Robert M. Gower +2
We consider infinite-horizon discounted Markov decision processes and study the convergence rates of the natural policy gradient (NPG) and the Q-NPG methods with the log-linear pol…
Grad-GradaGrad? A Non-Monotone Adaptive Stochastic Gradient Method
Aaron Defazio, Baoyu Zhou, Lin Xiao
The classical AdaGrad method adapts the learning rate by dividing by the square root of a sum of squared gradients. Because this sum on the denominator is increasing, the method ca…
On the Convergence Rates of Policy Gradient Methods
Lin Xiao
We consider infinite-horizon discounted Markov decision problems with finite state and action spaces and study the convergence rates of the projected policy gradient method and a g…