Aditya Mahajan

Aditya Mahajan

McGill University

H-index: 22

North America-Canada

About Aditya Mahajan

Aditya Mahajan, With an exceptional h-index of 22 and a recent h-index of 19 (since 2020), a distinguished researcher at McGill University, specializes in the field of stochastic control, decentralized control, multi agent reinforcement learning, multi-armed bandits.

His recent articles reflect a diverse array of research interests and contributions to the field:

Bridging State and History Representations: Understanding Self-Predictive RL

Strong Consistency and Rate of Convergence of Switched Least Squares System Identification for Autonomous Markov Jump Linear Systems

On learning history-based policies for controlling Markov decision processes

Model approximation in MDPs with unbounded per-step cost

On learning Whittle index policy for restless bandits with scalable regret

Overload Protection for Edge Cluster Using Two Tier Reinforcement Learning Models

Mean-field games among teams

Relative Almost Sure Regret Bounds for Certainty Equivalence Control of Markov Jump Systems

Aditya Mahajan Information

University

Position

___

Citations(all)

2466

Citations(since 2020)

1440

Cited By

1574

hIndex(all)

22

hIndex(since 2020)

19

i10Index(all)

33

i10Index(since 2020)

29

Email

University Profile Page

Google Scholar

Aditya Mahajan Skills & Research Interests

stochastic control

decentralized control

multi agent reinforcement learning

multi-armed bandits

Top articles of Aditya Mahajan

Title

Journal

Author(s)

Publication Date

Bridging State and History Representations: Understanding Self-Predictive RL

arXiv preprint arXiv:2401.08898

Tianwei Ni

Benjamin Eysenbach

Erfan Seyedsalehi

Michel Ma

Clement Gehring

...

2024/1/17

Strong Consistency and Rate of Convergence of Switched Least Squares System Identification for Autonomous Markov Jump Linear Systems

IEEE Transactions on Automatic Control

Borna Sayedana

Mohammad Afshari

Peter E Caines

Aditya Mahajan

2024/1/9

On learning history-based policies for controlling Markov decision processes

Gandharv Patil

Aditya Mahajan

Doina Precup

2024/4/18

Model approximation in MDPs with unbounded per-step cost

arXiv preprint arXiv:2402.08813

Berk Bozkurt

Aditya Mahajan

Ashutosh Nayyar

Yi Ouyang

2024/2/13

On learning Whittle index policy for restless bandits with scalable regret

IEEE Transactions on Control of Network Systems

Nima Akbarzadeh

Aditya Mahajan

2023/11/16

Overload Protection for Edge Cluster Using Two Tier Reinforcement Learning Models

2023/10/26

Mean-field games among teams

arXiv preprint arXiv:2310.12282

Jayakumar Subramanian

Akshat Kumar

Aditya Mahajan

2023/10/18

Relative Almost Sure Regret Bounds for Certainty Equivalence Control of Markov Jump Systems

Borna Sayedana

Mohammad Afshari

Peter E Caines

Aditya Mahajan

2023/12

Approximate information state based convergence analysis of recurrent Q-learning

arXiv preprint arXiv:2306.05991

Erfan Seyedsalehi

Nima Akbarzadeh

Amit Sinha

Aditya Mahajan

2023/6/9

Asymmetric Actor-Critic with Approximate Information State

Amit Sinha

Aditya Mahajan

2023/12

Dealing with non-stationarity in decentralized cooperative multi-agent deep reinforcement learning via multi-timescale learning

Hadi Nekoei

Akilesh Badrinaaraayanan

Amit Sinha

Mohammad Amini

Janarthanan Rajendran

...

2023/11/20

Partially observable restless bandits with restarts: indexability and computation of Whittle index

Nima Akbarzadeh

Aditya Mahajan

2022/12

Scalable regret for learning to control network-coupled subsystems with unknown dynamics

IEEE Transactions on Control of Network Systems

Sagar Sudhakara

Aditya Mahajan

Ashutosh Nayyar

Yi Ouyang

2022/6/17

Thompson-Sampling Based Reinforcement Learning for Networked Control of Unknown Linear Systems

Borna Sayedana

Mohammad Afshari

Peter E Caines

Aditya Mahajan

2022/12

Approximate information state for approximate planning and reinforcement learning in partially observed systems

Journal of Machine Learning Research

Jayakumar Subramanian

Amit Sinha

Raihan Seraj

Aditya Mahajan

2022/2/2

A modified Thompson sampling-based learning algorithm for unknown linear systems

Mukul Gagrani

Sagar Sudhakara

Aditya Mahajan

Ashutosh Nayyar

Yi Ouyang

2022/12

Scalable Operator Allocation for Multi-Robot Assistance: A Restless Bandit Approach

IEEE Transactions on Control of Networked Systems

Abhinav Dahiya

Nima Akbarzadeh

Aditya Mahajan

Stephen L Smith

2022

Robustness and sample complexity of model-based MARL for general-sum Markov games

Dynamic Games and Applications

Jayakumar Subramanian

Amit Sinha

Aditya Mahajan

2022/12

Decentralized linear quadratic systems with major and minor agents and non-Gaussian noise

IEEE Transactions on Automatic Control

Mohammad Afshari

Aditya Mahajan

2022/9/27

Conditions for indexability of restless bandits and an algorithm to compute Whittle index

Advances in Applied Probability

Nima Akbarzadeh

Aditya Mahajan

2022/12

See List of Professors in Aditya Mahajan University(McGill University)

Co-Authors

academic-engine