2 citations · 4 across the 6 of their papers we have counts for
6 papers
A Correction of Pseudo Log-Likelihood Method
Shi Feng, Nuoya Xiong, Zhijie Zhang +1
Pseudo log-likelihood is a type of maximum likelihood estimation (MLE) method used in various fields including contextual bandits, influence maximization of social networks, and ca…
Sample-Efficient Multi-Agent RL: An Optimization Perspective
Nuoya Xiong, Zhihan Liu, Zhaoran Wang +1
We study multi-agent reinforcement learning (MARL) for the general-sum Markov Games (MGs) under the general function approximation. In order to find the minimum assumption for samp…
A General Framework for Sequential Decision-Making under Adaptivity Constraints
Nuoya Xiong, Zhaoran Wang, Zhuoran Yang
We take the first step in studying general sequential decision-making under two adaptivity constraints: rare policy switch and batch learning. First, we provide a general class cal…
Provably Safe Reinforcement Learning with Step-wise Violation Constraints
Nuoya Xiong, Yihan Du, Longbo Huang
In this paper, we investigate a novel safe reinforcement learning problem with step-wise violation constraints. Our problem differs from existing works in that we consider stricter…
Combinatorial Causal Bandits without Graph Skeleton
Shi Feng, Nuoya Xiong, Wei Chen
In combinatorial causal bandits (CCB), the learning agent chooses a subset of variables in each round to intervene and collects feedback from the observed variables to minimize exp…
Combinatorial Pure Exploration of Causal Bandits
Nuoya Xiong, Wei Chen
The combinatorial pure exploration of causal bandits is the following online learning task: given a causal graph with unknown causal inference distributions, in each round we choos…