Mohsen GhaffariIT University of Copenhagen · Computer Science
Mohsen Ghaffari
MSc in Computer Science
PhD Student in Computer Science at ITU, Copenhagen
About
4
Publications
307
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14
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Introduction
I am PhD student at the SQUARE group since November 2021. My research interests is Reinforcement Learning, Multi-agent systems, Smart Grids, and Game Theory. I have worked on Demand Management in Smart Grids using Multi-agent Reinforcement Learning, Shortest Path on Uncertain Networks, HMM-based Detecting and Predicting, and Police Patrolling. Recently I have been interested in the safety and explainability of Reinforcement Learning. Right now, I am working on symbolic Reinforcement Learning.
Education
November 2021 - October 2024
September 2015 - March 2018
September 2010 - September 2014
Publications
Publications (4)
The development process for reinforcement learning applications is still exploratory rather than systematic. This exploratory nature reduces reuse of specifications between applications and increases the chances of introducing programming errors. This paper takes a step towards systematizing the development of reinforcement learning applications. W...
To manage the propagation of infectious diseases, particularly fast-spreading pandemics, it is necessary to provide information about possible infected places and individuals, however, it needs diagnostic tests and is time-consuming and expensive. To smooth these issues, and motivated by the current Coronavirus disease (COVID-19) pandemic, in this...
Finding the shortest path on uncertain transportation networks is a great challenge in theory and practice. There are several resources of uncertainty in the transportation networks such as traffic congestion, weather conditions, vehicle accidents, repairing roads, etc. A natural way to model uncertain networks is utilizing graphs with uncertain ed...
Demand‐side management (DSM) enables customers to decide consciously on how to seek and obtain power from the grid. The prevailing method available in DSM is load shifting. The grid is assisted through reducing load demands during the peak hours and altering the demand time into the off‐peak hours in a manner that the consumption sources could be m...
