Wei Xiong

According to our database, Wei Xiong authored at least 15 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Reward Teaching for Federated Multiarmed Bandits.

Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang

IEEE Trans. Signal Process., 2023

LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models.

Shizhe Diao, Rui Pan, Hanze Dong, Kashun Shum, Jipeng Zhang, Wei Xiong, Tong Zhang

CoRR, 2023

One Objective to Rule Them All: A Maximization Objective Fusing Estimation and Planning for Exploration.

Zhihan Liu, Miao Lu, Wei Xiong, Han Zhong, Hao Hu, Shenao Zhang, Sirui Zheng, Zhuoran Yang, Zhaoran Wang

CoRR, 2023

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment.

Hanze Dong, Wei Xiong, Deepanshu Goyal, Rui Pan, Shizhe Diao, Jipeng Zhang, Kashun Shum, Tong Zhang

CoRR, 2023

Reward Teaching for Federated Multi-armed Bandits.

Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang

Proceedings of the IEEE International Symposium on Information Theory, 2023

Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes.

Chenlu Ye, Wei Xiong, Quanquan Gu, Tong Zhang

Proceedings of the International Conference on Machine Learning, 2023

Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources.

Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang

Proceedings of the International Conference on Machine Learning, 2023

Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game.

Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Liwei Wang, Tong Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

GEC: A Unified Framework for Interactive Decision Making in MDP, POMDP, and Beyond.

Han Zhong, Wei Xiong, Sirui Zheng, Liwei Wang, Zhaoran Wang, Zhuoran Yang, Tong Zhang

CoRR, 2022

Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets.

Han Zhong, Wei Xiong, Jiyuan Tan, Liwei Wang, Tong Zhang, Zhaoran Wang, Zhuoran Yang

Proceedings of the International Conference on Machine Learning, 2022

A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games.

Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Tong Zhang

Proceedings of the International Conference on Machine Learning, 2022

2021

(Almost) Free Incentivized Exploration from Decentralized Learning Agents.

Chengshuai Shi, Haifeng Xu, Wei Xiong, Cong Shen

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization.

Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

PMGT-VR: A decentralized proximal-gradient algorithmic framework with variance reduction.

Haishan Ye, Wei Xiong, Tong Zhang

CoRR, 2020

Decentralized Multi-player Multi-armed Bandits with No Collision Information.

Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020