Aditya Mahajan

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Membre Académique Associé
Aditya Mahajan
Professeur adjoint, McGill University
Aditya Mahajan
Aditya Mahajan is an Assistant Professor of Electrical and Computer Engineering at McGill University and is an Associate Member at Mila. He received the B.Tech degree in Electrical Engineering from the Indian Institute of Technology, Kanpur, India in 2003 and the MS and PhD degrees in Electrical Engineering and Computer Science from the University of Michigan, Ann Arbor, MI, USA in 2006 and 2008. From 2008 to 2010, he was postdoctoral researcher in the department of Electrical Engineering at Yale University, New Haven, CT, USA. His research interests include decentralized stochastic control, team theory, real-time communication, multi-armed bandits, sensor networks, information theory, and discrete event systems.

Publications

2020-12

Team Optimal Control of Coupled Major-Minor Subsystems with Mean-Field Sharing
Jalal Arabneydi and Aditya Mahajan
arXiv preprint arXiv:2012.02401
(2020-12-04)
arxiv.orgPDF
Reinforcement Learning in Decentralized Stochastic Control Systems with Partial History Sharing.
Jalal Arabneydi and Aditya Mahajan
arXiv preprint arXiv:2012.02051
(2020-12-02)
arxiv.orgPDF
Team-Optimal Solution of Finite Number of Mean-Field Coupled LQG Subsystems.
Jalal Arabneydi and Aditya Mahajan
arXiv preprint arXiv:2012.02052
(2020-12-02)
arxiv.orgPDF
Team Optimal Control of Coupled Subsystems with Mean-Field Sharing.
Jalal Arabneydi and Aditya Mahajan
arXiv preprint arXiv:2012.01418
(2020-12-02)
arxiv.orgPDF

2020-11

Thompson sampling for linear quadratic mean-field teams.
Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar and Yi Ouyang
arxiv:eess.SY
(2020-11-09)
dblp.uni-trier.dePDF

2020-10

Multi-agent estimation and filtering for minimizing team mean-squared error.
Mohammad Afshari and Aditya Mahajan
arxiv:eess.SY
(2020-10-18)
arxiv.orgPDF
Approximate information state for approximate planning and reinforcement learning in partially observed systems.
Jayakumar Subramanian, Amit Sinha, Raihan Seraj and Aditya Mahajan
arXiv preprint arXiv:2010.08843
(2020-10-17)
arxiv.orgPDF

2020-09

Networked control of coupled subsystems: Spectral decomposition and low-dimensional solutions.
Shuang Gao and Aditya Mahajan
arxiv:eess.SY
(2020-09-27)
arxiv.orgPDF

2020-08

Restless bandits: indexability and computation of Whittle index
Nima Akbarzadeh and Aditya Mahajan
arxiv:eess.SY
(2020-08-13)
arxiv.orgPDF
Optimal Local and Remote Controllers With Unreliable Uplink Channels: An Elementary Proof
Mohammad Afshari and Aditya Mahajan
IEEE Transactions on Automatic Control
(2020-08-01)
ui.adsabs.harvard.eduPDF
Renewal Monte Carlo: Renewal Theory-Based Reinforcement Learning
Jayakumar Subramanian and Aditya Mahajan
IEEE Transactions on Automatic Control
(2020-08-01)
ieeexplore.ieee.org

2020-07

Counterexamples on the Monotonicity of Delay Optimal Strategies for Energy Harvesting Transmitters
Borna Sayedana and Aditya Mahajan
IEEE Wireless Communications Letters
(2020-07-01)
ui.adsabs.harvard.eduPDF

2020-06

Cross-layer communication over fading channels with adaptive decision feedback
Borna Sayedana, Aditya Mahajan and Edmund Yeh
WIOPT 2020
(2020-06-15)
ieeexplore.ieee.org
Restless bandits: Indexability and computation of Whittle index
Aditya Mahajan and Nima Akbarzadeh
Les Cahiers du GERAD
(2020-06-01)
www.gerad.ca

2020-05

Remote Estimation Over a Packet-Drop Channel With Markovian State
Jhelum Chakravorty and Aditya Mahajan
IEEE Transactions on Automatic Control
(2020-05-01)
ieeexplore.ieee.orgPDF

2020-04

Decentralized linear quadratic systems with major and minor agents and non-Gaussian noise
Mohammad Afshari and Aditya Mahajan
arxiv:eess.SY
(2020-04-24)
ui.adsabs.harvard.eduPDF

2020-02

Team Optimal Decentralized State Estimation of Linear Stochastic Processes by Agents with Non-Classical Information Structures.
Mohammad Afshari and Aditya Mahajan
arXiv: Systems and Control
(2020-02-11)
arxiv.orgPDF

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