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Lale, Sahin and Shi, Yuanyuan, et el. (2023) KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Discrete-Time Systems ; ISBN 979-8-3503-0124-3; 2023 62nd IEEE Conference on Decision and Control (CDC); 1334-1341; 10.1109/cdc49753.2023.10384011
Yu, Jing and Gupta, Varun, et el. (2023) Online Adversarial Stabilization of Unknown Linear Time-Varying Systems ; ISBN 979-8-3503-0124-3; 2023 62nd IEEE Conference on Decision and Control (CDC); 8320-8327; 10.1109/cdc49753.2023.10383849
Rutten, Daan and Christianson, Nicolas, et el. (2023) Smoothed Online Optimization with Unreliable Predictions ; ISBN 9798400700743; SIGMETRICS '23: Abstract Proceedings of the 2023 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems; 71-72; 10.1145/3578338.3593570
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Zhang, Yizhou and Qu, Guannan, et el. (2023) Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning ; ISBN 9798400700743; SIGMETRICS '23: Abstract Proceedings of the 2023 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems; 83-84; 10.1145/3578338.3593545
Sun, Bo and Yang, Lin, et el. (2023) The Online Knapsack Problem with Departures ; ISBN 9798400700743; SIGMETRICS '23: Abstract Proceedings of the 2023 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems; 59-60; 10.1145/3578338.3593576
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