activity
20142024
most citedA Distributed Tracking Algorithm for Reconstruction of Graph Signals

70 citations · 880 across the 62 of their papers we have counts for

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Showing 2022Show all

11 papers · 1 filter

econ.GN2022★ 1 cited

Research on The Cultivation Path of Craftsman Spirit in Higher Vocational Education Based on Survey Data

Yufei Xie, Jing Cui, Mengdie Wang

With the development of China's economy and society, the importance of "craftsman's spirit" has become more and more prominent. As the main educational institution for training tec…

cs.LG2022

Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient

Ming Yin, Mengdi Wang, Yu-Xiang Wang

Offline reinforcement learning, which aims at optimizing sequential decision-making strategies with historical data, has been extensively applied in real-life applications. State-O…

cs.LG2022

Representation Learning for General-sum Low-rank Markov Games

Chengzhuo Ni, Yuda Song, Xuezhou Zhang +2

We study multi-agent general-sum Markov games with nonlinear function approximation. We focus on low-rank Markov games whose transition matrix admits a hidden low-rank structure on…

cs.LG2022

Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization

Kaixuan Huang, Yu Wu, Xuezhou Zhang +4

Online influence maximization aims to maximize the influence spread of a content in a social network with unknown network model by selecting a few seed nodes. Recent studies follow…

stat.ML2022★ 4 cited

Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks

Shuoguang Yang, Xuezhou Zhang, Mengdi Wang

Bilevel optimization have gained growing interests, with numerous applications found in meta learning, minimax games, reinforcement learning, and nested composition optimization. T…

cs.LG2022

Offline Stochastic Shortest Path: Learning, Evaluation and Towards Optimality

Ming Yin, Wenjing Chen, Mengdi Wang +1

Goal-oriented Reinforcement Learning, where the agent needs to reach the goal state while simultaneously minimizing the cost, has received significant attention in real-world appli…