Aditya Mahajan
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Associate Professor
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Aditya Mahajan is an Associate Professor at McGill University in Canada. His research focuses on topics such as model approximation in Markov Decision Processes, mental workload estimation, decision-making in human-automation teams, and reinforcement learning strategies. He has contributed to a variety of articles exploring the complexities of decentralized systems, scalable regret in network-coupled subsystems, and optimization of task loads in dynamic environments.
Recent Grants
Grant: Close
Decentralized stochastic control: information structures, communication, and learning
Open Date: 2016-04-01
Close Date: 2018-03-31
Grant: Close
Communication delay unconstrained in networks
Open Date: 2012-04-01
Close Date: 2014-03-31
Grant: Close
Optimal control of dynamic teams under constraints and uncertainty
Open Date: 2011-04-01
Close Date: 2016-03-31
Articles (16)
Collaborators (2)
Stephen Smith
Professor
University of Waterloo
Jerome Le Ny
Associate Professor
Polytechnique Montréal
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