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Yi Shen
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Risk-averse no-regret learning in online convex games
Z Wang, Y Shen, M Zavlanos
International Conference on Machine Learning, 22999-23017, 2022
82022
A zeroth-order momentum method for risk-averse online convex games
Z Wang, Y Shen, ZI Bell, S Nivison, MM Zavlanos, KH Johansson
2022 IEEE 61st Conference on Decision and Control (CDC), 5179-5184, 2022
42022
Asynchronous zeroth-order distributed optimization with residual feedback
Y Shen, Y Zhang, S Nivison, ZI Bell, MM Zavlanos
2021 60th IEEE Conference on Decision and Control (CDC), 3349-3354, 2021
42021
Learning without knowing: Unobserved context in continuous transfer reinforcement learning
C Liu, Y Zhang, Y Shen, MM Zavlanos
Learning for Dynamics and Control, 791-802, 2021
42021
Wasserstein Distributionally Robust Policy Evaluation and Learning for Contextual Bandits
Y Shen, P Xu, MM Zavlanos
arXiv preprint arXiv:2309.08748, 2023
22023
Convergence Analysis of the Best Response Algorithm for Time-Varying Games
Z Wang, Y Shen, MM Zavlanos, KH Johansson
2023 62nd IEEE Conference on Decision and Control (CDC), 1144-1149, 2023
12023
Asymmetric Feedback Learning in Online Convex Games
Z Wang, X Yi, Y Shen, MM Zavlanos, KH Johansson
arXiv preprint arXiv:2307.08812, 2023
12023
Risk-averse multi-armed bandits with unobserved confounders: A case study in emotion regulation in mobile health
Y Shen, J Dunn, MM Zavlanos
2022 IEEE 61st Conference on Decision and Control (CDC), 144-149, 2022
12022
Boosting One-Point Derivative-Free Online Optimization via Residual Feedback
Y Zhang, Y Zhou, K Ji, Y Shen, MM Zavlanos
IEEE Transactions on Automatic Control, 2024
2024
Learning of Nash Equilibria in Risk-Averse Games
Z Wang, Y Shen, MM Zavlanos, KH Johansson
arXiv preprint arXiv:2403.10399, 2024
2024
Multi-Agent Reinforcement Learning for Resource Allocation in Large-Scale Robotic Warehouse Sortation Centers
Y Shen, B McClosky, JW Durham, MM Zavlanos
2023 62nd IEEE Conference on Decision and Control (CDC), 7137-7143, 2023
2023
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