no code implementations • 25 Sep 2021 • Yuanhanqing Huang, Jianghai Hu
We consider a class of multi-agent optimization problems, where each agent has a local objective function that depends on its own decision variables and the aggregate of others, and is willing to cooperate with other agents to minimize the sum of the local objectives.
no code implementations • 25 Sep 2021 • Yuanhanqing Huang, Jianghai Hu
In this paper, we focus on the stochastic generalized Nash equilibrium problem (SGNEP) which is an important and widely-used model in many different fields.
no code implementations • 14 Mar 2021 • Donghwan Lee, Niao He, Seungjae Lee, Panagiota Karava, Jianghai Hu
The building sector consumes the largest energy in the world, and there have been considerable research interests in energy consumption and comfort management of buildings.
no code implementations • 17 Feb 2021 • Donghwan Lee, Jianghai Hu, Niao He
Based on these two systems, we derive a new finite-time error bound of asynchronous Q-learning when a constant stepsize is used.