471 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Institut national de recherche en sciences et technologies du numériqueFR21 papers
- École Normale Supérieure - PSLFR17 papers
- Centre National de la Recherche ScientifiqueFR8 papers
- University of FloridaUS7 papers
- Département d'InformatiqueFR6 papers
- KTH Royal Institute of TechnologySE4 papers
- Télécom ParisFR4 papers
- The University of Texas at AustinUS4 papers
- Eindhoven University of TechnologyNL3 papers
- École Normale SupérieureBI2 papers
- Laboratoire des signaux et systèmesFR2 papers
- Microsoft (United States)US2 papers
6 papers · 1 filter
Zap Q-Learning for Optimal Stopping Time Problems
Shuhang Chen, Adithya M. Devraj, Ana Bušić +1
The objective in this paper is to obtain fast converging reinforcement learning algorithms to approximate solutions to the problem of discounted cost optimal stopping in an irreduc…
Estimation and Control of Quality of Service in Demand Dispatch
Yue Chen, Ana Bušić, Sean Meyn
It is now well known that flexibility of energy consumption can be harnessed for the purposes of grid-level ancillary services. In particular, through distributed control of a coll…
Smart Fridge / Dumb Grid? Demand Dispatch for the Power Grid of 2020
Joel Mathias, Rim Kaddah, Ana Bušić +1
In discussions at the 2015 HICSS meeting, it was argued that loads can provide most of the ancillary services required today and in the future. Through load-level and grid-level co…
State Estimation for the Individual and the Population in Mean Field Control with Application to Demand Dispatch
Yue Chen, Ana Bušić, Sean Meyn
This paper concerns state estimation problems in a mean field control setting. In a finite population model, the goal is to estimate the joint distribution of the population state…
Randomized Consensus with Attractive and Repulsive Links
Guodong Shi, Alexandre Proutiere, Mikael Johansson +1
We study convergence properties of a randomized consensus algorithm over a graph with both attractive and repulsive links. At each time instant, a node is randomly selected to inte…
Distributed Optimization: Convergence Conditions from a Dynamical System Perspective
Guodong Shi, Alexandre Proutiere, Karl Henrik Johansson
This paper explores the fundamental properties of distributed minimization of a sum of functions with each function only known to one node, and a pre-specified level of node knowle…