2.1k citations · 4.6k across the 69 of their papers we have counts for
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cs.LG2023★ 9 cited
Decentralized and Privacy-Preserving Learning of Approximate Stackelberg Solutions in Energy Trading Games with Demand Response Aggregators
Styliani I. Kampezidou, Justin Romberg, Kyriakos G. Vamvoudakis +1
In this work, a novel Stackelberg game theoretic framework is proposed for trading energy bidirectionally between the demand-response (DR) aggregator and the prosumers. This formul…
cs.LG2023★ 2 cited
Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems
Sihan Zeng, Thinh T. Doan, Justin Romberg
The aim of this paper is to improve the understanding of the optimization landscape for policy optimization problems in reinforcement learning. Specifically, we show that the super…