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Markovian Decentralized Ensemble Control for Demand Response
With the advancement in smart grid and smart energy devices, demand response becomes one of the most economic and feasible solutions to ease the load stress of the power grids during peak hours.
The Confluence of Networks, Games and Learning
In addition to existing research works on game-theoretic learning over networks, we highlight several new angles and research endeavors on learning in games that are related to recent developments in artificial intelligence.
Blackwell Online Learning for Markov Decision Processes
This work provides a novel interpretation of Markov Decision Processes (MDP) from the online optimization viewpoint.
Locally-Aware Constrained Games on Networks
We use \textit{awareness levels} to capture the scope of the network constraints that players are aware of.
