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ORCIDAditya Mahajan
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- affiliation: McGill University, Montreal, Canada
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2020 – today
- 2024
[j31]Nima Akbarzadeh
, Aditya Mahajan:
Two families of indexable partially observable restless bandits and Whittle index computation. Perform. Evaluation 163: 102394 (2024)- [j30]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): 3952-3959 (2024) - [c61]Gandharv Patil, Aditya Mahajan, Doina Precup:
On learning history-based policies for controlling Markov decision processes. AISTATS 2024: 3511-3519 - [c60]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 - [i40]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 abs/2401.08898 (2024) - [i39]Berk Bozkurt, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang:
Model approximation in MDPs with unbounded per-step cost. CoRR abs/2402.08813 (2024) - [i38]Amit Sinha, Mathieu Geist, Aditya Mahajan:
Periodic agent-state based Q-learning for POMDPs. CoRR abs/2407.06121 (2024) - 2023
- [j29]Jayakumar Subramanian, Amit Sinha, Aditya Mahajan:
Robustness and Sample Complexity of Model-Based MARL for General-Sum Markov Games. Dyn. Games Appl. 13(1): 56-88 (2023) - [j28]Mohammad Afshari, Aditya Mahajan:
Decentralized Linear Quadratic Systems With Major and Minor Agents and Non-Gaussian Noise. IEEE Trans. Autom. Control. 68(8): 4666-4681 (2023) - [j27]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): 2-14 (2023) - [c59]Borna Sayedana, Mohammad Afshari, Peter E. Caines, Aditya Mahajan:
Relative Almost Sure Regret Bounds for Certainty Equivalence Control of Markov Jump Systems. CDC 2023: 6629-6634 - [c58]Amit Sinha, Aditya Mahajan:
Asymmetric Actor-Critic with Approximate Information State. CDC 2023: 7810-7816 - [c57]Berk Bozkurt, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang:
Weighted-Norm Bounds on Model Approximation in MDPs with Unbounded Per-Step Cost. CDC 2023: 7817-7823 - [c56]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: 376-398 - [i37]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 abs/2302.02792 (2023) - [i36]Erfan Seyedsalehi, Nima Akbarzadeh, Amit Sinha, Aditya Mahajan:
Approximate information state based convergence analysis of recurrent Q-learning. CoRR abs/2306.05991 (2023) - [i35]Jayakumar Subramanian, Akshat Kumar, Aditya Mahajan:
Mean-field games among teams. CoRR abs/2310.12282 (2023) - 2022
- [j26]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: 12:1-12:83 (2022) - [j25]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): 1881-1897 (2022) - [j24]Shuang Gao, Aditya Mahajan:
Optimal Control of Network-Coupled Subsystems: Spectral Decomposition and Low-Dimensional Solutions. IEEE Trans. Control. Netw. Syst. 9(2): 657-669 (2022) - [j23]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): 1397-1408 (2022) - [c55]Borna Sayedana, Mohammad Afshari, Peter E. Caines, Aditya Mahajan:
Thompson-Sampling Based Reinforcement Learning for Networked Control of Unknown Linear Systems. CDC 2022: 723-730 - [c54]Nima Akbarzadeh, Aditya Mahajan:
Partially observable restless bandits with restarts: indexability and computation of Whittle index. CDC 2022: 4898-4904 - [c53]Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang:
A modified Thompson sampling-based learning algorithm for unknown linear systems. CDC 2022: 6658-6665 - [c52]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: 6678-6685 - [i34]Nima Akbarzadeh, Aditya Mahajan:
On learning Whittle index policy for restless bandits with scalable regret. CoRR abs/2202.03463 (2022) - [i33]Gandharv Patil, Aditya Mahajan, Doina Precup:
On learning history based policies for controlling Markov decision processes. CoRR abs/2211.03011 (2022) - 2021
- [j22]Mohammad Afshari, Aditya Mahajan:
Multi-Agent Estimation and Filtering for Minimizing Team Mean-Squared Error. IEEE Trans. Signal Process. 69: 5206-5221 (2021) - [c51]Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang:
Thompson sampling for linear quadratic mean-field teams. CDC 2021: 720-727 - [c50]Kesav Kaza, Jerome Le Ny, Aditya Mahajan:
Decision Referrals in Human-Automation Teams. CDC 2021: 2842-2847 - [c49]Raihan Seraj, Jerome Le Ny, Aditya Mahajan:
Mean-field approximation for large-population beauty-contest games. CDC 2021: 5233-5238 - [c48]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: 1-6 - [i32]Nima Akbarzadeh, Aditya Mahajan:
Maintenance of a collection of machines under partial observability: Indexability and computation of Whittle index. CoRR abs/2104.05151 (2021) - [i31]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 abs/2107.01025 (2021) - [i30]Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang:
Scalable regret for learning to control network-coupled subsystems with unknown dynamics. CoRR abs/2108.07970 (2021) - [i29]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 abs/2108.08502 (2021) - [i28]Jayakumar Subramanian, Amit Sinha, Aditya Mahajan:
Robustness and sample complexity of model-based MARL for general-sum Markov games. CoRR abs/2110.02355 (2021) - [i27]Abhinav Dahiya, Nima Akbarzadeh, Aditya Mahajan, Stephen L. Smith:
Scalable Operator Allocation for Multi-Robot Assistance: A Restless Bandit Approach. CoRR abs/2111.06437 (2021) - [i26]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 abs/2112.10753 (2021) - 2020
- [j21]Jhelum Chakravorty, Aditya Mahajan:
Remote Estimation Over a Packet-Drop Channel With Markovian State. IEEE Trans. Autom. Control. 65(5): 2016-2031 (2020) - [j20]Mohammad Afshari, Aditya Mahajan:
Optimal Local and Remote Controllers With Unreliable Uplink Channels: An Elementary Proof. IEEE Trans. Autom. Control. 65(8): 3616-3622 (2020) - [j19]Jayakumar Subramanian, Aditya Mahajan:
Renewal Monte Carlo: Renewal Theory-Based Reinforcement Learning. IEEE Trans. Autom. Control. 65(8): 3663-3670 (2020) - [j18]Borna Sayedana, Aditya Mahajan:
Counterexamples on the Monotonicity of Delay Optimal Strategies for Energy Harvesting Transmitters. IEEE Wirel. Commun. Lett. 9(7): 1070-1074 (2020) - [c47]Aditya Mahajan, Stephen Rock:
Completeness Seeking Probabilistic Coverage Estimation using Uncertain State Estimates. IROS 2020: 6832-6837 - [c46]Borna Sayedana, Aditya Mahajan, Edmund Yeh:
Cross-layer communication over fading channels with adaptive decision feedback. WiOpt 2020: 230-237 - [i25]Mohammad Afshari, Aditya Mahajan:
Decentralized linear quadratic systems with major and minor agents and non-Gaussian noise. CoRR abs/2004.11856 (2020) - [i24]Nima Akbarzadeh, Aditya Mahajan:
Restless bandits: indexability and computation of Whittle index. CoRR abs/2008.06111 (2020) - [i23]Shuang Gao, Aditya Mahajan:
Networked control of coupled subsystems: Spectral decomposition and low-dimensional solutions. CoRR abs/2009.12367 (2020) - [i22]Jayakumar Subramanian, Amit Sinha, Raihan Seraj, Aditya Mahajan:
Approximate information state for approximate planning and reinforcement learning in partially observed systems. CoRR abs/2010.08843 (2020) - [i21]Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang:
Thompson sampling for linear quadratic mean-field teams. CoRR abs/2011.04686 (2020)
2010 – 2019
- 2019
- [c45]Jayakumar Subramanian, Aditya Mahajan:
Reinforcement Learning in Stationary Mean-field Games. AAMAS 2019: 251-259 - [c44]Jayakumar Subramanian, Aditya Mahajan:
Approximate information state for partially observed systems. CDC 2019: 1629-1636 - [c43]Shuang Gao, Aditya Mahajan:
Networked control of coupled subsystems: Spectral decomposition and low-dimensional solutions. CDC 2019: 4514-4520 - [c42]Nima Akbarzadeh, Aditya Mahajan:
Restless bandits with controlled restarts: Indexability and computation of Whittle index. CDC 2019: 7294-7300 - [c41]Nima Akbarzadeh, Aditya Mahajan:
Dynamic spectrum access under partial observations: A restless bandit approach. CWIT 2019: 1-6 - [i20]Mohammad Afshari, Aditya Mahajan:
Team Optimal Decentralized State Estimation. CoRR abs/1903.12018 (2019) - [i19]Borna Sayedana, Aditya Mahajan:
Counterexamples on the monotonicity of delay optimal strategies for energy harvesting transmitters. CoRR abs/1910.03556 (2019) - [i18]Mohammad Afshari, Aditya Mahajan:
Optimal local and remote controllers with unreliable uplink channels: An elementary proof. CoRR abs/1911.01473 (2019) - 2018
- [j17]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): 3858-3864 (2018) - [j16]Simon Li, Ashish Khisti, Aditya Mahajan:
Information-Theoretic Privacy for Smart Metering Systems with a Rechargeable Battery. IEEE Trans. Inf. Theory 64(5): 3679-3695 (2018) - [c40]Sebin Mathew, Karl H. Johannson, Aditya Mahajan:
Optimal sampling of multiple linear processes over a shared medium. CDC 2018: 1712-1718 - [c39]Jayakumar Subramanian, Aditya Mahajan, Aditya A. Paranjape:
On Controllability of Leader-Follower Dynamics over a Directed Graph. CDC 2018: 2048-2055 - [c38]Mohammad Afshari, Aditya Mahajan:
Team Optimal Decentralized State Estimation. CDC 2018: 5044-5050 - [c37]Jayakumar Subramanian, Aditya Mahajan:
Renewal Monte Carlo: Renewal Theory Based Reinforcement Learning. CDC 2018: 5759-5764 - [i17]Jayakumar Subramanian, Aditya Mahajan:
Renewal Monte Carlo: Renewal theory based reinforcement learning. CoRR abs/1804.01116 (2018) - [i16]Jhelum Chakravorty, Aditya Mahajan:
Remote estimation over a packet-drop channel with Markovian state. CoRR abs/1807.09706 (2018) - 2017
- [j15]Jhelum Chakravorty, Aditya Mahajan:
Fundamental Limits of Remote Estimation of Autoregressive Markov Processes Under Communication Constraints. IEEE Trans. Autom. Control. 62(3): 1109-1124 (2017) - [c36]Jhelum Chakravorty, Jayakumar Subramanian, Aditya Mahajan:
Stochastic approximation based methods for computing the optimal thresholds in remote-state estimation with packet drops. ACC 2017: 462-467 - [c35]Calvin Ma, Aditya Mahajan, Brett H. Meyer:
Multi-armed bandits for efficient lifetime estimation in MPSoC design. DATE 2017: 1540-1545 - [c34]Yu Liu, Ashish Khisti, Aditya Mahajan:
On privacy in smart metering systems with periodically time-varying input distribution. GlobalSIP 2017: 513-517 - [c33]Jhelum Chakravorty, Aditya Mahajan:
Structure of optimal strategies for remote estimation over Gilbert-Elliott channel with feedback. ISIT 2017: 1272-1276 - [c32]Aditya Mahajan:
Remote Estimation over Control Area Networks. VTC Fall 2017: 1-5 - [i15]Jhelum Chakravorty, Aditya Mahajan:
Structure of optimal strategies for remote estimation over Gilbert-Elliott channel with feedback. CoRR abs/1701.05943 (2017) - 2016
- [j14]Aditya Mahajan, Mehnaz Mannan:
Decentralized stochastic control. Ann. Oper. Res. 241(1-2): 109-126 (2016) - [c31]Simon Li, Ashish Khisti, Aditya Mahajan:
Privacy-optimal strategies for smart metering systems with a rechargeable battery. ACC 2016: 2080-2085 - [c30]Jhelum Chakravorty, Aditya Mahajan:
Structural results for two-user interactive communication. ISIT 2016: 145-149 - [c29]Jhelum Chakravorty, Aditya Mahajan:
Fundamental limits of remote estimation of autoregressive Markov processes under communication constraints. ITA 2016: 1-16 - 2015
- [j13]Aditya Mahajan, Sekhar Tatikonda:
An algorithmic approach to identify irrelevant information in sequential teams. Autom. 61: 178-191 (2015) - [j12]Aditya Mahajan, Ashutosh Nayyar:
Sufficient Statistics for Linear Control Strategies in Decentralized Systems With Partial History Sharing. IEEE Trans. Autom. Control. 60(8): 2046-2056 (2015) - [c28]Jalal Arabneydi, Aditya Mahajan:
Reinforcement learning in decentralized stochastic control systems with partial history sharing. ACC 2015: 5449-5456 - [c27]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: 1299-1306 - [c26]Can Cui, Aditya Mahajan:
On computing optimal thresholds in decentralized sequential hypothesis testing. CDC 2015: 5284-5289 - [c25]Jalal Arabneydi, Aditya Mahajan:
Team-optimal solution of finite number of mean-field coupled LQG subsystems. CDC 2015: 5308-5313 - [c24]Jhelum Chakravorty, Aditya Mahajan:
Distortion-transmission trade-off in real-time transmission of Gauss-Markov sources. ISIT 2015: 1387-1391 - [c23]Jhelum Chakravorty, Aditya Mahajan:
Distortion-transmission trade-off in real-time transmission of Markov sources. ITW 2015: 1-5 - [c22]Simon Li, Ashish Khisti, Aditya Mahajan:
Structure of optimal privacy-preserving policies in smart-metered systems with a rechargeable battery. SPAWC 2015: 375-379 - [i14]Jhelum Chakravorty, Aditya Mahajan:
Fundamental limits of remote estimation of Markov processes under communication constraints. CoRR abs/1505.04829 (2015) - [i13]Simon Li, Ashish Khisti, Aditya Mahajan:
Privacy-Optimal Strategies for Smart Metering Systems with a Rechargeable Battery. CoRR abs/1510.07170 (2015) - 2014
- [c21]Jhelum Chakravorty, Aditya Mahajan:
Average cost optimal threshold strategies for remote estimation with communication cost. Allerton 2014: 335-342 - [c20]Jhelum Chakravorty, Aditya Mahajan:
On the optimal thresholds in remote state estimation with communication costs. CDC 2014: 1041-1046 - [c19]Jalal Arabneydi, Aditya Mahajan:
Team optimal control of coupled subsystems with mean-field sharing. CDC 2014: 1669-1674 - [c18]Mehnaz Mannan, Aditya Mahajan:
Simultaneous real-time transmission of multiple Markov sources over a shared channel. ISIT 2014: 2356-2360 - [i12]Aditya Mahajan, Ashutosh Nayyar:
Sufficient statistics for linear control strategies in decentralized systems with partial history sharing. CoRR abs/1403.2739 (2014) - [i11]Jhelum Chakravorty, Aditya Mahajan:
Distortion-transmission trade-off in real-time transmission of Markov sources. CoRR abs/1412.3199 (2014) - 2013
- [j11]Ashutosh Nayyar, Aditya Mahajan, Demosthenis Teneketzis:
Decentralized Stochastic Control with Partial History Sharing: A Common Information Approach. IEEE Trans. Autom. Control. 58(7): 1644-1658 (2013) - [j10]Aditya Mahajan:
Optimal Decentralized Control of Coupled Subsystems With Control Sharing. IEEE Trans. Autom. Control. 58(9): 2377-2382 (2013) - [c17]Aditya Mahajan, Nuno C. Martins, Serdar Yüksel:
Static LQG teams with countably infinite players. CDC 2013: 6765-6770 - [i10]Aditya Mahajan, M. S. Dahiya, Hitesh P. Sanghvi:
Forensic Analysis of Instant Messenger Applications on Android Devices. CoRR abs/1304.4915 (2013) - [i9]Aditya Mahajan, Mehnaz Mannan:
Decentralized stochastic control. CoRR abs/1310.4545 (2013) - 2012
- [j9]Aditya Mahajan, Sekhar Tatikonda:
Opportunistic Capacity and Error Exponent Region for the Compound Channel With Feedback. IEEE Trans. Inf. Theory 58(7): 4331-4341 (2012) - [c16]Aditya Mahajan, Nuno C. Martins, Michael Rotkowitz, Serdar Yüksel:
Information structures in optimal decentralized control. CDC 2012: 1291-1306 - [c15]Aditya Mahajan:
On optimal block Markov coding schemes for multiple-access channel with feedback. CISS 2012: 1-4 - [c14]Aditya Mahajan:
Structure of optimal policies in active sensing. ICASSP 2012: 5265-5268 - [i8]Sumit Sharma, Rohitt Sharma, Paramjit Singh, Aditya Mahajan:
Age Based User Interface in Mobile Operating System. CoRR abs/1205.1687 (2012) - [i7]Ashutosh Nayyar, Aditya Mahajan, Demosthenis Teneketzis:
Decentralized Stochastic Control with Partial History Sharing: A Common Information Approach. CoRR abs/1209.1695 (2012) - 2011
- [j8]Ashutosh Nayyar, Aditya Mahajan, Demosthenis Teneketzis:
Optimal Control Strategies in Delayed Sharing Information Structures. IEEE Trans. Autom. Control. 56(7): 1606-1620 (2011) - [c13]Aditya Mahajan:
Optimal decentralized control of coupled subsystems with control sharing. CDC/ECC 2011: 5726-5731 - [i6]Aditya Mahajan:
Optimal decentralized control of coupled subsystems with control sharing. CoRR abs/1112.6220 (2011) - 2010
- [j7]David I. Shuman, Ashutosh Nayyar, Aditya Mahajan, Yuriy Goykhman, Ke Li, Mingyan Liu, Demosthenis Teneketzis, Mahta Moghaddam, Dara Entekhabi:
Measurement Scheduling for Soil Moisture Sensing: From Physical Models to Optimal Control. Proc. IEEE 98(11): 1918-1933 (2010) - [j6]Mahta Moghaddam, Dara Entekhabi, Yuriy Goykhman, Ke Li, Mingyan Liu, Aditya Mahajan, Ashutosh Nayyar, David I. Shuman, Demosthenis Teneketzis:
A Wireless Soil Moisture Smart Sensor Web Using Physics-Based Optimal Control: Concept and Initial Demonstrations. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 3(4-1): 522-535 (2010) - [c12]Aditya Mahajan:
Optimal transmission policies for two-user multiple access broadcast using dynamic team theory. Allerton 2010: 806-813 - [c11]Ashutosh Nayyar, Aditya Mahajan, Demosthenis Teneketzis:
A structural result for delayed sharing information structures. ACC 2010: 6391-6396 - [c10]Aditya Mahajan, Serdar Yüksel:
Measure and cost dependent properties of information structures. ACC 2010: 6397-6402 - [c9]Aditya Mahajan, Sekhar Tatikonda:
Opportunistic capacity and error exponent regions for variable length communication over compound channel with feedback. CISS 2010: 1-6 - [c8]Aditya Mahajan, Sekhar Tatikonda:
Opportunistic capacity and error exponent regions for compound channel with feedback. ISIT 2010: 236-240 - [i5]Ashutosh Nayyar, Aditya Mahajan, Demosthenis Teneketzis:
Optimal Control Strategies in Delayed Sharing Information Structures. CoRR abs/1002.4172 (2010) - [i4]Aditya Mahajan:
Optimal sequential transmission over broadcast channel with nested feedback. CoRR abs/1004.1155 (2010)
2000 – 2009
- 2009
- [j5]Aditya Mahajan, Demosthenis Teneketzis:
Optimal Performance of Networked Control Systems with Nonclassical Information Structures. SIAM J. Control. Optim. 48(3): 1377-1404 (2009) - [j4]Aditya Mahajan, Demosthenis Teneketzis:
Optimal design of sequential real-time communication systems. IEEE Trans. Inf. Theory 55(11): 5317-5338 (2009) - [c7]Aditya Mahajan, Sekhar Tatikonda:
Sequential team form and its simplification using graphical models. Allerton 2009: 330-339 - [c6]Aditya Mahajan, Sekhar Tatikonda:
A training based scheme for communicating over unknown channels with feedback. Allerton 2009: 1549-1553 - [c5]Aditya Mahajan, Sekhar Tatikonda:
A Graphical modeling approach to simplifying sequential teams. WiOpt 2009: 1-8 - [i3]Aditya Mahajan, Sekhar Tatikonda:
A training-based scheme for communicating over unknown channels with feedback. CoRR abs/0911.2023 (2009) - 2008
- [j3]Aditya Mahajan, Demosthenis Teneketzis:
On the design of globally optimal communication strategies for real-time noisy communication systems with noisy feedback.