Chengshuai Shi

Decision Sciences · Social Sciences

8h-index205citations30works3.62yr avg
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Research Topics

Advanced Bandit Algorithms Research(23), Reinforcement Learning in Robotics(12), Smart Grid Energy Management(5), Auction Theory and Applications(3), Adversarial Robustness in Machine Learning(3)

Publications30 total

Augmenting Online RL with Offline Data is All You Need: A Unified Hybrid RL Algorithm Design and Analysis
arXiv (Cornell University)·2025Open Access
Building Math Agents with Multi-Turn Iterative Preference Learning
arXiv (Cornell University)·2024· 1 citedOpen Access
Offline Reinforcement Learning for Wireless Network Optimization With Mixture Datasets
IEEE Transactions on Wireless Communications·2024· 16 cited
Efficient Prompt Optimization Through the Lens of Best Arm Identification
arXiv (Cornell University)·2024· 1 citedOpen Access
Efficient Prompt Optimization Through the Lens of Best Arm Identification
2024
Harnessing the Power of Federated Learning in Federated Contextual Bandits
arXiv (Cornell University)·2023Open Access
On High-dimensional and Low-rank Tensor Bandits
2023· 4 cited
Reward Teaching for Federated Multi-armed Bandits
2023· 2 cited
Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources
arXiv (Cornell University)·2023Open Access
On High-dimensional and Low-rank Tensor Bandits
arXiv (Cornell University)·2023Open Access
Reward Teaching for Federated Multi-armed Bandits
arXiv (Cornell University)·2023Open Access
Teaching Reinforcement Learning Agents via Reinforcement Learning
2023
Reward Teaching for Federated Multiarmed Bandits
IEEE Transactions on Signal Processing·2023
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games
arXiv (Cornell University)·2022Open Access
Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game
arXiv (Cornell University)·2022· 2 citedOpen Access
Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and\n Generalization
arXiv (Cornell University)·2021· 7 citedOpen Access
Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization
arXiv (Cornell University)·2021· 6 citedOpen Access
(Almost) Free Incentivized Exploration from Decentralized Learning Agents
arXiv (Cornell University)·2021· 2 citedOpen Access
(Almost) Free Incentivized Exploration from Decentralized Learning\n Agents
arXiv (Cornell University)·2021Open Access
An Attackability Perspective on No-Sensing Adversarial Multi-player Multi-armed Bandits
2021
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Frequent Co-authors

Cong Shen(26), Jing Yang(11), Wei Xiong(7), Wei Xiong(4), Kun Yang(2), Nicholas D. Sidiropoulos(2), Han Zhong(2), Tong Zhang(2), Haifeng Xu(2), Shen Cong(2), Lixing Chen(1), Linqi Song(1), Jie Xu(1), Shu‐ping Yeh(1), Jaroslaw J. Sydir(1), Liwei Wang(1), Kun Yang(1), Jing Yang(1), Wei Xiong(1), Jiaming Shen(1)