no code implementations • 4 Jul 2023 • Shashank A. Deshpande, Ankur A. Kulkarni
We identified a decision-theoretic property of the cost called the `coordination dilemma' as a necessary condition for the quantum advantage to manifest.
no code implementations • 4 Jul 2023 • Shashank A. Deshpande, Ankur A. Kulkarni
We have shown that entanglement assisted stochastic strategies allow access to strategic measures beyond the classically correlated measures accessible through passive common randomness, and thus attain a quantum advantage in decentralised control.
no code implementations • 24 Feb 2023 • Rene Aid, Anupama Kowli, Ankur A. Kulkarni
Utilities and transmission system operators (TSO) around the world implement demand response programs for reducing electricity consumption by sending information on the state of balance between supply demand to end-use consumers.
no code implementations • 25 Jul 2022 • Shashank A. Deshpande, Ankur A. Kulkarni
It is known in the context of decentralised control that there exist control strategies consistent with the requirements of a given information structure, yet physically unimplementable through any amount of passive common randomness.
no code implementations • 23 Jul 2022 • Shraddha Pathak, Ankur A. Kulkarni
Since the network dependent term in this decomposition is unaffected by the signals sent by the government, this characterization simplifies the problem of finding the optimal information disclosure policies.
no code implementations • 28 Oct 2020 • Anuj S. Vora, Ankur A. Kulkarni
During the COVID-$19$ pandemic the health authorities at airports and train stations try to screen and identify the travellers possibly exposed to the virus.
no code implementations • 20 Aug 2014 • Bharat Prabhakar, Ankur A. Kulkarni
The lower-dimensional AVI is obtained by appropriately projecting the original AVI on a randomly chosen subspace.
no code implementations • 6 Jul 2013 • Wei Chen, Dayu Huang, Ankur A. Kulkarni, Jayakrishnan Unnikrishnan, Quanyan Zhu, Prashant Mehta, Sean Meyn, Adam Wierman
Neuro-dynamic programming is a class of powerful techniques for approximating the solution to dynamic programming equations.