Aditya Mahajan

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 77

Top Venues

CoRR

CDC

IEEE Trans. Autom. Control.

ISIT

Publications

Berk Bozkurt, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang
Model approximation in MDPs with unbounded per-step cost. CoRR (2024)
Borna Sayedana, Mohammad Afshari, Peter E. Caines, Aditya Mahajan
Strong Consistency and Rate of Convergence of Switched Least Squares System Identification for Autonomous Markov Jump Linear Systems. IEEE Trans. Autom. Control. 69 (6) (2024)
Nima Akbarzadeh, Aditya Mahajan
Two families of indexable partially observable restless bandits and Whittle index computation. Perform. Evaluation 163 (2024)
Amit Sinha, Mathieu Geist, Aditya Mahajan
Periodic agent-state based Q-learning for POMDPs. CoRR (2024)
Tianwei Ni, Benjamin Eysenbach, Erfan Seyedsalehi, Michel Ma, Clement Gehring, Aditya Mahajan, Pierre-Luc Bacon
Bridging State and History Representations: Understanding Self-Predictive RL. ICLR (2024)
Gandharv Patil, Aditya Mahajan, Doina Precup
On learning history-based policies for controlling Markov decision processes. AISTATS (2024)
Tianwei Ni, Benjamin Eysenbach, Erfan Seyedsalehi, Michel Ma, Clement Gehring, Aditya Mahajan, Pierre-Luc Bacon
Bridging State and History Representations: Understanding Self-Predictive RL. CoRR (2024)
Erfan Seyedsalehi, Nima Akbarzadeh, Amit Sinha, Aditya Mahajan
Approximate information state based convergence analysis of recurrent Q-learning. CoRR (2023)
Jayakumar Subramanian, Amit Sinha, Aditya Mahajan
Robustness and Sample Complexity of Model-Based MARL for General-Sum Markov Games. Dyn. Games Appl. 13 (1) (2023)
Hadi Nekoei, Akilesh Badrinaaraayanan, Amit Sinha, Mohammad Amini, Janarthanan Rajendran, Aditya Mahajan, Sarath Chandar
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning. CoRR (2023)
Mohammad Afshari, Aditya Mahajan
Decentralized Linear Quadratic Systems With Major and Minor Agents and Non-Gaussian Noise. IEEE Trans. Autom. Control. 68 (8) (2023)
Berk Bozkurt, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang
Weighted-Norm Bounds on Model Approximation in MDPs with Unbounded Per-Step Cost. CDC (2023)
Hadi Nekoei, Akilesh Badrinaaraayanan, Amit Sinha, Mohammad Amini, Janarthanan Rajendran, Aditya Mahajan, Sarath Chandar
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning. CoLLAs (2023)
Borna Sayedana, Mohammad Afshari, Peter E. Caines, Aditya Mahajan
Relative Almost Sure Regret Bounds for Certainty Equivalence Control of Markov Jump Systems. CDC (2023)
Amit Sinha, Aditya Mahajan
Asymmetric Actor-Critic with Approximate Information State. CDC (2023)
Jayakumar Subramanian, Akshat Kumar, Aditya Mahajan
Mean-field games among teams. CoRR (2023)
Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang
Scalable Regret for Learning to Control Network-Coupled Subsystems With Unknown Dynamics. IEEE Trans. Control. Netw. Syst. 10 (1) (2023)
Nima Akbarzadeh, Aditya Mahajan
On learning Whittle index policy for restless bandits with scalable regret. CoRR (2022)
Jayakumar Subramanian, Amit Sinha, Raihan Seraj, Aditya Mahajan
Approximate Information State for Approximate Planning and Reinforcement Learning in Partially Observed Systems. J. Mach. Learn. Res. 23 (2022)
Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang
A modified Thompson sampling-based learning algorithm for unknown linear systems. CDC (2022)
Nima Akbarzadeh, Aditya Mahajan
Partially observable restless bandits with restarts: indexability and computation of Whittle index. CDC (2022)
Anirudha Jitani, Aditya Mahajan, Zhongwen Zhu, Hatem Abou-Zeid, Emmanuel Thepie Fapi, Hakimeh Purmehdi
Structure-Aware Reinforcement Learning for Node-Overload Protection in Mobile Edge Computing. IEEE Trans. Cogn. Commun. Netw. 8 (4) (2022)
Borna Sayedana, Mohammad Afshari, Peter E. Caines, Aditya Mahajan
Thompson-Sampling Based Reinforcement Learning for Networked Control of Unknown Linear Systems. CDC (2022)
Shuang Gao, Aditya Mahajan
Optimal Control of Network-Coupled Subsystems: Spectral Decomposition and Low-Dimensional Solutions. IEEE Trans. Control. Netw. Syst. 9 (2) (2022)
Abhinav Dahiya, Nima Akbarzadeh, Aditya Mahajan, Stephen L. Smith
Scalable Operator Allocation for Multirobot Assistance: A Restless Bandit Approach. IEEE Trans. Control. Netw. Syst. 9 (3) (2022)
Gandharv Patil, Aditya Mahajan, Doina Precup
On learning history based policies for controlling Markov decision processes. CoRR (2022)
Borna Sayedana, Mohammad Afshari, Peter E. Caines, Aditya Mahajan
Consistency and Rate of Convergence of Switched Least Squares System Identification for Autonomous Markov Jump Linear Systems. CDC (2022)
Anirudha Jitani, Aditya Mahajan, Zhongwen Zhu, Hatem Abou-zeid, Emmanuel Thepie Fapi, Hakimeh Purmehdi
Structure-aware reinforcement learning for node-overload protection in mobile edge computing. CoRR (2021)
Abhinav Dahiya, Nima Akbarzadeh, Aditya Mahajan, Stephen L. Smith
Scalable Operator Allocation for Multi-Robot Assistance: A Restless Bandit Approach. CoRR (2021)
Anirudha Jitani, Aditya Mahajan, Zhongwen Zhu, Hatem Abou-Zeid, Emmanuel Thepie Fapi, Hakimeh Purmehdi
Structure-aware reinforcement learning for node-overload protection in mobile edge computing. ICC (2021)
Jayakumar Subramanian, Amit Sinha, Aditya Mahajan
Robustness and sample complexity of model-based MARL for general-sum Markov games. CoRR (2021)
Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang
Scalable regret for learning to control network-coupled subsystems with unknown dynamics. CoRR (2021)
Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang
A relaxed technical assumption for posterior sampling-based reinforcement learning for control of unknown linear systems. CoRR (2021)
Kesav Kaza, Jerome Le Ny, Aditya Mahajan
Decision Referrals in Human-Automation Teams. CDC (2021)
Mohammad Afshari, Aditya Mahajan
Multi-Agent Estimation and Filtering for Minimizing Team Mean-Squared Error. IEEE Trans. Signal Process. 69 (2021)
Nima Akbarzadeh, Aditya Mahajan
Maintenance of a collection of machines under partial observability: Indexability and computation of Whittle index. CoRR (2021)
Raihan Seraj, Jerome Le Ny, Aditya Mahajan
Mean-field approximation for large-population beauty-contest games. CDC (2021)
Borna Sayedana, Mohammad Afshari, Peter E. Caines, Aditya Mahajan
Consistency and Rate of Convergence of Switched Least Squares System Identification for Autonomous Switched Linear Systems. CoRR (2021)
Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang
Thompson sampling for linear quadratic mean-field teams. CDC (2021)
Borna Sayedana, Aditya Mahajan
Counterexamples on the Monotonicity of Delay Optimal Strategies for Energy Harvesting Transmitters. IEEE Wirel. Commun. Lett. 9 (7) (2020)
Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang
Thompson sampling for linear quadratic mean-field teams. CoRR (2020)
Jayakumar Subramanian, Amit Sinha, Raihan Seraj, Aditya Mahajan
Approximate information state for approximate planning and reinforcement learning in partially observed systems. CoRR (2020)
Shuang Gao, Aditya Mahajan
Networked control of coupled subsystems: Spectral decomposition and low-dimensional solutions. CoRR (2020)
Nima Akbarzadeh, Aditya Mahajan
Restless bandits: indexability and computation of Whittle index. CoRR (2020)
Jayakumar Subramanian, Aditya Mahajan
Renewal Monte Carlo: Renewal Theory-Based Reinforcement Learning. IEEE Trans. Autom. Control. 65 (8) (2020)
Aditya Mahajan, Stephen Rock
Completeness Seeking Probabilistic Coverage Estimation using Uncertain State Estimates. IROS (2020)
Borna Sayedana, Aditya Mahajan, Edmund Yeh
Cross-layer communication over fading channels with adaptive decision feedback. WiOpt (2020)
Mohammad Afshari, Aditya Mahajan
Optimal Local and Remote Controllers With Unreliable Uplink Channels: An Elementary Proof. IEEE Trans. Autom. Control. 65 (8) (2020)
Mohammad Afshari, Aditya Mahajan
Decentralized linear quadratic systems with major and minor agents and non-Gaussian noise. CoRR (2020)
Jhelum Chakravorty, Aditya Mahajan
Remote Estimation Over a Packet-Drop Channel With Markovian State. IEEE Trans. Autom. Control. 65 (5) (2020)
Mohammad Afshari, Aditya Mahajan
Team Optimal Decentralized State Estimation. CoRR (2019)
Mohammad Afshari, Aditya Mahajan
Optimal local and remote controllers with unreliable uplink channels: An elementary proof. CoRR (2019)
Nima Akbarzadeh, Aditya Mahajan
Dynamic spectrum access under partial observations: A restless bandit approach. CWIT (2019)
Jayakumar Subramanian, Aditya Mahajan
Approximate information state for partially observed systems. CDC (2019)
Shuang Gao, Aditya Mahajan
Networked control of coupled subsystems: Spectral decomposition and low-dimensional solutions. CDC (2019)
Borna Sayedana, Aditya Mahajan
Counterexamples on the monotonicity of delay optimal strategies for energy harvesting transmitters. CoRR (2019)
Nima Akbarzadeh, Aditya Mahajan
Restless bandits with controlled restarts: Indexability and computation of Whittle index. CDC (2019)
Jayakumar Subramanian, Aditya Mahajan
Reinforcement Learning in Stationary Mean-field Games. AAMAS (2019)
Mohammad Afshari, Aditya Mahajan
Team Optimal Decentralized State Estimation. CDC (2018)
Jayakumar Subramanian, Aditya Mahajan, Aditya A. Paranjape
On Controllability of Leader-Follower Dynamics over a Directed Graph. CDC (2018)
Sebin Mathew, Karl H. Johannson, Aditya Mahajan
Optimal sampling of multiple linear processes over a shared medium. CDC (2018)
Jhelum Chakravorty, Aditya Mahajan
Sufficient Conditions for the Value Function and Optimal Strategy to be Even and Quasi-Convex. IEEE Trans. Autom. Control. 63 (11) (2018)
Simon Li, Ashish Khisti, Aditya Mahajan
Information-Theoretic Privacy for Smart Metering Systems with a Rechargeable Battery. IEEE Trans. Inf. Theory 64 (5) (2018)
Jayakumar Subramanian, Aditya Mahajan
Renewal Monte Carlo: Renewal theory based reinforcement learning. CoRR (2018)
Jayakumar Subramanian, Aditya Mahajan
Renewal Monte Carlo: Renewal Theory Based Reinforcement Learning. CDC (2018)
Jhelum Chakravorty, Aditya Mahajan
Remote estimation over a packet-drop channel with Markovian state. CoRR (2018)
Aditya Mahajan
Remote Estimation over Control Area Networks. VTC Fall (2017)
Yu Liu, Ashish Khisti, Aditya Mahajan
On privacy in smart metering systems with periodically time-varying input distribution. GlobalSIP (2017)
Jhelum Chakravorty, Jayakumar Subramanian, Aditya Mahajan
Stochastic approximation based methods for computing the optimal thresholds in remote-state estimation with packet drops. ACC (2017)
Jhelum Chakravorty, Aditya Mahajan
Structure of optimal strategies for remote estimation over Gilbert-Elliott channel with feedback. ISIT (2017)
Jhelum Chakravorty, Aditya Mahajan
Structure of optimal strategies for remote estimation over Gilbert-Elliott channel with feedback. CoRR (2017)
Jhelum Chakravorty, Aditya Mahajan
Fundamental Limits of Remote Estimation of Autoregressive Markov Processes Under Communication Constraints. IEEE Trans. Autom. Control. 62 (3) (2017)
Calvin Ma, Aditya Mahajan, Brett H. Meyer
Multi-armed bandits for efficient lifetime estimation in MPSoC design. DATE (2017)
Aditya Mahajan, Mehnaz Mannan
Decentralized stochastic control. Ann. Oper. Res. 241 (1-2) (2016)
Jhelum Chakravorty, Aditya Mahajan
Structural results for two-user interactive communication. ISIT (2016)
Simon Li, Ashish Khisti, Aditya Mahajan
Privacy-optimal strategies for smart metering systems with a rechargeable battery. ACC (2016)
Jhelum Chakravorty, Aditya Mahajan
Fundamental limits of remote estimation of autoregressive Markov processes under communication constraints. ITA (2016)
Aditya Mahajan, Sekhar Tatikonda
An algorithmic approach to identify irrelevant information in sequential teams. Autom. 61 (2015)
Can Cui, Aditya Mahajan
On computing optimal thresholds in decentralized sequential hypothesis testing. CDC (2015)
Jhelum Chakravorty, Aditya Mahajan
Fundamental limits of remote estimation of Markov processes under communication constraints. CoRR (2015)
Jalal Arabneydi, Aditya Mahajan
Reinforcement learning in decentralized stochastic control systems with partial history sharing. ACC (2015)
Prokopis C. Prokopiou, Peter E. Caines, Aditya Mahajan
An estimation based allocation rule with super-linear regret and finite lock-on time for time-dependent multi-armed bandit processes. CCECE (2015)
Simon Li, Ashish Khisti, Aditya Mahajan
Structure of optimal privacy-preserving policies in smart-metered systems with a rechargeable battery. SPAWC (2015)
Simon Li, Ashish Khisti, Aditya Mahajan
Privacy-Optimal Strategies for Smart Metering Systems with a Rechargeable Battery. CoRR (2015)
Jalal Arabneydi, Aditya Mahajan
Team-optimal solution of finite number of mean-field coupled LQG subsystems. CDC (2015)
Aditya Mahajan, Ashutosh Nayyar
Sufficient Statistics for Linear Control Strategies in Decentralized Systems With Partial History Sharing. IEEE Trans. Autom. Control. 60 (8) (2015)
Jhelum Chakravorty, Aditya Mahajan
Distortion-transmission trade-off in real-time transmission of Gauss-Markov sources. ISIT (2015)
Jhelum Chakravorty, Aditya Mahajan
Distortion-transmission trade-off in real-time transmission of Markov sources. ITW (2015)
Aditya Mahajan, Ashutosh Nayyar
Sufficient statistics for linear control strategies in decentralized systems with partial history sharing. CoRR (2014)
Jalal Arabneydi, Aditya Mahajan
Team optimal control of coupled subsystems with mean-field sharing. CDC (2014)
Jhelum Chakravorty, Aditya Mahajan
Distortion-transmission trade-off in real-time transmission of Markov sources. CoRR (2014)
Mehnaz Mannan, Aditya Mahajan
Simultaneous real-time transmission of multiple Markov sources over a shared channel. ISIT (2014)
Jhelum Chakravorty, Aditya Mahajan
Average cost optimal threshold strategies for remote estimation with communication cost. Allerton (2014)
Jhelum Chakravorty, Aditya Mahajan
On the optimal thresholds in remote state estimation with communication costs. CDC (2014)
Aditya Mahajan
Optimal Decentralized Control of Coupled Subsystems With Control Sharing. IEEE Trans. Autom. Control. 58 (9) (2013)
Aditya Mahajan, Nuno C. Martins, Serdar Yüksel
Static LQG teams with countably infinite players. CDC (2013)
Aditya Mahajan, M. S. Dahiya, Hitesh P. Sanghvi
Forensic Analysis of Instant Messenger Applications on Android Devices CoRR (2013)
Ashutosh Nayyar, Aditya Mahajan, Demosthenis Teneketzis
Decentralized Stochastic Control with Partial History Sharing: A Common Information Approach. IEEE Trans. Autom. Control. 58 (7) (2013)
Aditya Mahajan, Mehnaz Mannan
Decentralized stochastic control. CoRR (2013)
Aditya Mahajan
Structure of optimal policies in active sensing. ICASSP (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Aditya Mahajan