Chengshuai Shi
Chengshuai Shi
Electrical and Computer Engineering, University of Virginia
Verified email at - Homepage
Cited by
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Federated multi-armed bandits with personalization
C Shi, C Shen, J Yang
International conference on artificial intelligence and statistics, 2917-2925, 2021
Federated multi-armed bandits
C Shi, C Shen
35th AAAI Conference on Artificial Intelligence 35 (11), https://www.aaai …, 2021
Decentralized multi-player multi-armed bandits with no collision information
C Shi, W Xiong, C Shen, J Yang
International Conference on Artificial Intelligence and Statistics, 1519-1528, 2020
Privacy-aware edge computing based on adaptive dnn partitioning
C Shi, L Chen, C Shen, L Song, J Xu
2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019
Nearly minimax optimal offline reinforcement learning with linear function approximation: Single-agent mdp and markov game
W Xiong, H Zhong, C Shi, C Shen, L Wang, T Zhang
arXiv preprint arXiv:2205.15512, 2022
Heterogeneous multi-player multi-armed bandits: Closing the gap and generalization
C Shi, W Xiong, C Shen, J Yang
Advances in neural information processing systems 34, 22392-22404, 2021
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games
W Xiong, H Zhong, C Shi, C Shen, T Zhang
ICML 2022, 2022
On no-sensing adversarial multi-player multi-armed bandits with collision communications
C Shi, C Shen
IEEE Journal on Selected Areas in Information Theory 2 (2), 515-533, 2021
Multi-player multi-armed bandits with collision-dependent reward distributions
C Shi, C Shen
IEEE Transactions on Signal Processing 69, 4385-4402, 2021
(Almost) Free Incentivized Exploration from Decentralized Learning Agents
C Shi, H Xu, W Xiong, C Shen
Advances in Neural Information Processing Systems 34, 560-571, 2021
An Attackability Perspective on No-Sensing Adversarial Multi-player Multi-armed Bandits
C Shi, C Shen
2021 IEEE International Symposium on Information Theory (ISIT), 533-538, 2021
Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources
C Shi, W Xiong, C Shen, J Yang
ICML 2023, 2023
On High-dimensional and Low-rank Tensor Bandits
C Shi, C Shen, ND Sidiropoulos
arXiv preprint arXiv:2305.03884, 2023
Reward Teaching for Federated Multi-armed Bandits
C Shi, W Xiong, C Shen, J Yang
arXiv preprint arXiv:2305.02441, 2023
Teaching Reinforcement Learning Agents via Reinforcement Learning
K Yang, C Shi, C Shen
2023 57th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2023
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