Many real-world dynamic decision-making problems consist of multiple decision-makers with asymmetric information. Some examples include Markets, social learning, traffic management, autonomous vehicles, cyber-physical systems, internet of things and many more. In these systems, there are multiple decision-makers (DMs) who make some common and private observations of the 'state' of the systems with the goal to minimize their own cost (dynamic games) or total cost incurred by everybody (dynamic teams). In this talk, I will present a general sequential decomposition framework…
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Speaker: Alexandre Reiffers Date: 26/11/2019 Venue: Seminar Hall, RBCCPS Abstract: Recent developments in low-cost sensors, wireless network communication, and computational tools have paved the way for applications like monitoring with the high spatial and temporal resolution for example in the context of air quality. However, the reduced quality of sensing units necessitates robust drift detection and calibration schemes. The few existing methods are variants of outlier detection algorithms. We presented an optimization-based clustering algorithm that first smooths the data and then…
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The PUDX Datathon is being organized jointly by Indian Institute of Science , IISc-Robert Bosch Centre for Cyber Physical Systems (RBCCPS) and IISc-Cisco Centre for Networked Intelligence (CNI), Pune Smart City Development Corporation (PSCDCL) with support from Smart Cities Mission, Ministry of Housing and Urban Affairs (MoHUA). The goal of the Datathon is to develop innovative solutions based on India Urban Data Exchange (IUDX), an open source data exchange platform aimed at enabling cities to harness full potential of the enormous data being generated in our smart cities. In particular, the Datathon will be based on PUDX (Pune Urban Data Exchange) which is an instance of IUDX for Pune Smart City. The IUDX envisages the following stake holders for collaboration –…
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