1 citations · 1 across the 4 of their papers we have counts for
8 papers
Distributed Stochastic Nash Equilibrium Learning in Locally Coupled Network Games with Unknown Parameters
Yuanhanqing Huang, Jianghai Hu
In stochastic Nash equilibrium problems (SNEPs), it is natural for players to be uncertain about their complex environments and have multi-dimensional unknown parameters in their m…
A Primal Decomposition Approach to Globally Coupled Aggregative Optimization over Networks
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, an…
A Distributed GNE Seeking Algorithm Using the Douglas-Rachford Splitting Method
Yuanhanqing Huang, Jianghai Hu
We consider a generalized Nash equilibrium problem (GNEP) for a network of players. Each player tries to minimize a local objective function subject to some resource constraints wh…
Simulation Studies on Deep Reinforcement Learning for Building Control with Human Interaction
Donghwan Lee, Niao He, Seungjae Lee +2
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. Inspire…
Column Partition based Distributed Algorithms for Coupled Convex Sparse Optimization: Dual and Exact Regularization Approaches
Jinglai Shen, Jianghai Hu, Eswar Kumar Hathibelagal Kammara
This paper develops column partition based distributed schemes for a class of large-scale convex sparse optimization problems, e.g., basis pursuit (BP), LASSO, basis pursuit denosi…
Supplemental Material For "Primal-Dual Q-Learning Framework for LQR Design"
Donghwan Lee, Jianghai Hu
Recently, reinforcement learning (RL) is receiving more and more attentions due to its successful demonstrations outperforming human performance in certain challenging tasks. In ou…