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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); IEEE: Piscataway,
NJ; 1334-1341; 10.1109/cdc49753.2023.10384011
Yu, Jing; 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); IEEE: Piscataway, NJ; 8320-8327; 10.1109/cdc49753.2023.10383849
Werner, Lucien; Christianson, Nicolas; et el. (2023) Pricing
Uncertainty in Stochastic Multi-Stage Electricity Markets ; ISBN
979-8-3503-0124-3; 2023 62nd IEEE Conference on Decision and Control
(CDC); IEEE: Piscataway, NJ; 1580-1587; 10.1109/cdc49753.2023.10384022
Zhang, Yizhou; 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; ACM: New York, NY; 83-84;
10.1145/3578338.3593545
Yu, Jing; Ho, Dimitar; et el. (2023) Online
Adversarial Stabilization of Unknown Networked Systems ; ISBN
9798400700743; SIGMETRICS ’23: Abstract Proceedings of the 2023 ACM
SIGMETRICS International Conference on Measurement and Modeling of
Computer Systems; ACM: New York, NY; 73-74; 10.1145/3578338.3593557
Rutten, Daan; 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; ACM: New York, NY; 71-72; 10.1145/3578338.3593570
Sun, Bo; 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; ACM; 59-60; 10.1145/3578338.3593576
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Unifying Approach to Assessing Market Power in Deregulated Electricity
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