Networked Multiagent Systems Lab

Publications

Preprints

  1. A. Karthikeyan, L. D. Kashyap, C. Eksin, and S. Bukkapatnam. Actor-critic based reinforcement learning for multi-stage process planning and end point control in abrasive finishing operations, (submitted), 2026.
  2. S. Aydin and C. Eksin. Almost Sure Convergence of Networked Policy Gradient Play over Time-Varying Networks in Markov Potential Games, (revised), 2026.
  3. U. Maitra, K. Paarporn, and C. Eksin. Logit Dynamics in Coupled Environments, (submitted to ACC), 2026.
  4. Y. Vahmian, U. Maitra, C. Eksin, and K. Paarporn. Signaling Policies for Stabilizing Feedback-Evolving Games, (submitted to ACC), 2026.
  5. S. Das, S. Paternain, L. F. O. Chamon, and C. Eksin. The Lagrangian Method for Solving Constrained Markov Games, (revised), 2026.
  6. K. Arthur, C. Eksin, A. Y. Pandit, M. L. Ndeffo-Mbah, R. Smallman, and S. Fields. Comparing Concurrent Associations Between Health Behavior Theory Constructs and Mask Wearing During and After a Mask Mandate, (revised, Scientific Reports), 2026.
  7. S. Hong, S. Das, H. Khazaei, A. Garcia, K. Paarporn, and C. Eksin. A Behavior-Coupled SEIR Model for Population Response Estimation and Epidemic Forecasting, (submitted), 2026.

Journal

  1. A. Deka, C. Eksin, M. L. Ndeffo-Mbah. Analyzing the use of non-pharmaceutical personal protective measures through self-interest and social optimum for the control of an emerging disease, Mathematical Biosciences, 2024.
  2. S. Das and C. Eksin. Average submodularity of maximizing anticoordination in network games, SIAM Journal on Control and Optimization, 2024.
  3. T. G. Nakkina, A. Karthikeyan, Y. Zhong, C. Eksin, S. T. S. Bukkapatnam. Learning graph-Fourier spectra of textured surface images for defect localization, Manufacturing Letters, 2024.
  4. S. Das and C. Eksin. Learning Nash in Constrained Markov Games with an $\alpha$-Potential, IEEE Control Systems Letters, 2024.
  5. A. Karthikeyan, S. Das, S. Bukkapatnam, and C. Eksin. Statistical and Dynamic Model of Surface Morphology Evolution during Polishing in Additive Manufacturing, IISE Transactions, 2024.
  6. S. Aydin and C. Eksin, A Best-Response Algorithm with Voluntary Communication and Mobility Protocols for Mobile Autonomous Teams Solving the Target Assignment Problem, IEEE Trans. Control Systems Technology, 2023.
  7. F. Sezer and C. Eksin, Robust Social Welfare Maximization via Information Design in Linear-Quadratic-Gaussian Games, IEEE Control Systems Letters, 2023.
  8. F. Sezer, H. Khazaei, C. Eksin. Social Welfare Maximization and Conformism via Information Design in Linear-Quadratic-Gaussian Games, IEEE Trans. Automatic Control, 2023.
  9. F. Sezer and C. Eksin, Information Design Preferences of Agents in Linear-Quadratic-Gaussian Games, IEEE Control Systems Letters, 2022.
  10. S. Aydin and C. Eksin, Decentralized Inertial Best-Response with Voluntary and Limited Communication in Random Communication Networks, Automatica, 2022.
  11. L. Hong, A. Garcia, and C. Eksin, Distributed Estimation via Network Regularization, Automatica, 2021.
  12. A. Garcia, R. Khatami, C. Eksin, F. Sezer, An Incentive Compatible Mechanism for Market Coupling, IEEE Trans. Power Systems, 2021.
  13. S. Aydin, S. Arefizadeh, C. Eksin, Decentralized Fictitious Play in Near-Potential Games with time-varying communication networks, IEEE Control Systems Letters, 2021.
  14. C. Eksin, M. Ndeffo-Mbah, and J.S. Weitz, Reacting to outbreaks in neighboring localities, Journal of Theoretical Biology,2021.
  15. A. Nourmohammad and C. Eksin, Optimal evolutionary control for artificial selection on molecular phenotypes, Physical Review X, 2021.
  16. J.S. Weitz, S.W. Park, C. Eksin, and J. Dushoff, Awareness-driven behavior changes can shift the shape of epidemics away from peaks and towards plateaus, shoulders, and oscillations, The Proceedings of the National Academy of Sciences of the USA, 2020.
  17. C. Eksin, and K. Paarporn, Control of learning in anti-coordination network games, IEEE Trans. Control of Network Systems, 2020.
  18. C. Eksin, K. Paarporn, and J.S. Weitz, Systematic biases in disease forecasting – the role of behavior change, Epidemics vol. 27, 2019.
  19. B. Swenson, C. Eksin, S. Kar, and A. Ribeiro, Distributed inertial best-response dynamics, IEEE Trans. Autom. Control., vol. 63, no. 12, December 2018.
  20. K. Paarporn, C. Eksin, J.S. Weitz, Information sharing for a coordination game in fluctuating environments, Journal of Theoretical Biology, vol. 454, 2018.
  21. C. Eksin and A. Ribeiro, Distributed fictitious play for multi-agent systems in uncertain environments, IEEE Trans. Autom. Control., vol. 63, no. 4, April 2018.
  22. C. Eksin, H. Delic and A. Ribeiro, Demand response with communicating rational consumers, IEEE Trans. on Smart Grid, vol. 9, no. 1, January 2018.
  23. K. Paarporn, C. Eksin, J.S. Weitz, J.S. Shamma, Networked SIS epidemics with awareness, IEEE Trans. Comp. Social Systems, vol. 4, no. 3, 2017.
  24. C. Eksin, J.S. Shamma, J.S. Weitz, Disease dynamics in a stochastic network game: a little empathy goes a long way in averting outbreaks, Scientific Reports, 7:44122, March 2017. (Supplementary Information, Arxiv Version)
  25. J.S. Weitz, C. Eksin, K. Paarporn, S.P. Brown and W.C. Ratcliff,  An oscillating tragedy of the commons in replicator dynamics with game-environment feedback, Proceedings of the National Academy of the Sciences USA, vol. 113, no. 47, November 2016.
  26. C. Eksin, H. Delic and A. Ribeiro, Demand response management in smart grids with heterogeneous consumer preferences, IEEE Trans. on Smart Grid, vol. 6, no. 6, pp. 3082 – 3094, November 2015.
  27. P. Molavi, C. Eksin, A. Ribeiro and A. Jadbabaie, Learning to coordinate in social networks, Operations Research, vol. 64, no. 3, June 2015.
  28. C. Eksin, P. Molavi, A. Ribeiro and A. Jadbabaie,  Bayesian quadratic network game filters, IEEE Trans. Signal Process., vol. 62, no. 9, pp. 2250 – 2264, May 2014.
  29. C. Eksin, P. Molavi, A. Ribeiro and A. Jadbabaie, Learning in networks with incomplete information, IEEE Signal Process Mag., vol. 30, no. 3, pp. 30-42, May 2013.
  30. C. Eksin and A. Ribeiro, Distributed network optimization with heuristic rational agents, IEEE Trans. Signal Process., vol. 60, no. 10, pp. 5396-5411, October 2012.

Refereed Conference Publications

  1. A. E. Arcaklioglu and C. Eksin. Persuasion under Dynamic Trust: Parametric Sender Behavior, IEEE Conference on Decision and Control (CDC), 2026, to appear.
  2. S. Das, S. Paternain, L. F. O. Chamon, and C. Eksin. Computing Nash in Locally Constrained Markov Games using a Lagrangian Framework, IEEE Conference on Decision and Control (CDC), 2026, to appear.
  3. K. Nakhleh, S. Aydin, C. Eksin, and S. Ekin. Fictitious Play in Product Markov Games with Kullback-Leibler Control Cost, 59th Asilomar Conference on Signals, Systems, and Computers, pp. 1682–1686, 2025.
  4. S. Aydin and C. Eksin. Policy Gradient Play over Time-Varying Networks in Markov Potential Games, 62nd IEEE Conference on Decision and Control (CDC), pp. 1997–2002, 2023.
  5. S. Aydin and C. Eksin, Policy Gradient Play with Networked Agents in Markov Potential Games, Learning for Dynamics and Control Conference (L4DC), 2023.
  6. S. Aydin and C. Eksin, Networked Policy Gradient Play in Markov Potential Games, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023.
  7. K. Paarporn and C. Eksin, SIS epidemics coupled with evolutionary social distancing dynamics, American Control Conference (ACC), 2023.
  8. S. Aydin, S. Arefizadeh, C. Eksin, Convergence Bounds of Decentralized Fictitious Play Around a Single Nash Equilibrium in Near-Potential Games, IEEE Conf. on Decision and Control (CDC), 2022
  9. S. Das and C. Eksin, Approximate Submodularity of Maximizing Anticoordination in Network Games, IEEE Conf. on Decision and Control (CDC), 2022.
  10. O. Ukogu, C. Lamont, C. Eksin, A. Nourmohammad, Learning and Control for Evolutionary Processes, APS March Meeting Abstracts, 2022.
  11. H. Khazaei, K. Paarporn, A. Garcia, C. Eksin, Disease Spread Coupled with Evolutionary Social Distancing Dynamics Can Lead to Growing Oscillations, IEEE Conf. on Decision and Control (CDC), 2021.
  12. S. Aydin, S. Arefizadeh, C. Eksin, Decentralized Fictitious Play Converges Near a Nash Equilibrium in Near-Potential Games, Asilomar Conf. on Signals, Systems and Computers, 2021.
  13. L Hong, A. Garcia, C. Eksin, Distributed Networked Learning with Correlated Data, IEEE Conf. on Decision and Control (CDC), 2020.
  14. S. Aydin, C. Eksin, Decentralized Fictitious Play with Voluntary Communication in Random Communication Networks, IEEE Conf. on Decision and Control (CDC), 2020.
  15. L. Hong, A. Garcia, C. Eksin, Distributed Networked Learning with Correlated Data, IEEE Conf. on Decision and Control (CDC), 2020.
  16. S. Aydin, C. Eksin, Learning-aware Decentralized Communication and Mobility Control for the Target Assignment Problem, IEEE Conference on Control Technology and Applications (CCTA), 2020
  17. C. Eksin, Control of stochastic disease network games via influential individuals, IEEE Conf. on Decision and Control (CDC), 2019.
  18. S. Arefizadeh and C. Eksin, Distributed fictitious play in potential games with time-varying communication networks, Asilomar Signals and Systems Conf.,  2019.
  19. K. Paarporn, C. Eksin, J. S. Weitz, Y. Wardi, Optimal control policies for evolutionary dynamics with environmental feedback, IEEE Conf. on Decision and Control (CDC), 2018.
  20. K. Paarporn and C. Eksin, Incentive Control in network anti-coordination games with binary types, Asilomar Signals and Systems Conf., 2018.
  21. C. Eksin, B Swenson, S Kar, A Ribeiro, Learning pure-strategy Nash equilibria in networked multi-agent systems with uncertainty, IEEE Conf. on Decision and Control (CDC), 2016.
  22. K. Paarporn, C. Eksin, J.S. Weitz, and J.S. Shamma, The effect of awareness on networked sis epidemics, IEEE Conf. on Decision and Control (CDC), 2016.
  23. C. Eksin, and A. Ribeiro, Distributed fictitious play for multi-agent systems with uncertainty, IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2016.
  24. C. Eksin, and A. Ribeiro, Distributed fictitious play in potential games of incomplete information, IEEE Conf. on Decision and Control (CDC), 2015.
  25. K. Paarporn, C. Eksin, J.S. Weitz, J.S. Shamma, Epidemic spread over networks with agent awareness and social distancing, 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2015.
  26. C. Eksin, A. Hooshmand, R. Sharma. A decentralized energy management system, European Control Conference (ECC), 2015
  27. C. Eksin, H. Deliç, and A Ribeiro, Real-time pricing with uncertain and heterogeneous consumer preferences, American Control Conference (ACC), 2015.
  28. C. Eksin, H. Deliç, and A Ribeiro, Rational consumer behavior models in smart pricing, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015.
  29. C. Eksin, H. Deliç, and A Ribeiro, Distributed demand side management of heterogeneous rational consumers in smart grids with renewable sources, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014.
  30. P. Molavi, C. Eksin, A. Ribeiro, and A. Jadbabaie, Learning to coordinate in a beauty contest game, IEEE Conf. on Decision and Control (CDC), 2013.
  31. C. Eksin, P. Molavi, A. Ribeiro, and A. Jadbabaie, Distributed filters for Bayesian network games, European Signal Processing Conference (EUSIPCO), 2013.
  32. C. Eksin, P. Molavi, A. Ribeiro, and A. Jadbabaie, Learning in linear games over networks, 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2012.
  33. C. Eksin and A. Ribeiro, Heuristic rational models in social networks, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012.
  34. C. Eksin, P. Molavi, A. Ribeiro, and A. Jadbabaie, Games with side information in economic networks, Asilomar Conference on Signals, Systems and Computers (Asilomar), 2012.
  35. C. Eksin and A. Ribeiro, Network optimization with heuristic rational agents, Asilomar Conference on Signals, Systems and Computers (Asilomar), 2011.
  36. C. Eksin, B.G. Silverman, D. Pietrocola, and R. Kang, Dimensions of leader-in-context models, International Conf. on Cognitive Modeling, 2010. 
  37. C. Eksin, Towards Descriptive and Prescriptive Double-Loop Learning Agents, International Conf. on Cognitive Modeling, 2010. 
  38. C. Eksin, Policy Analysis using Q-learning, Conference on Behavior Representation in Modeling and Simulation, 2010
  39. C. Eksin, Genetic algorithms for multi-objective optimization in dynamic systems, 26th International System Dynamics Conference, 2008.
  40. C. Eksin and A. O. Konuray, Business Dynamics of a Record Company As Influenced By Online Channels, 26th International System Dynamics Conference, 2008.
  41. C. Eksin, M. Guzelkaya, E. Yesil, I. Eksin, Fuzzy Logic Approach to Mimic Decision Making Behavior of Humans in Stock Management Game, 26th International System Dynamics Conference, 2008.

Book Chapters

  1. C. Eksin, B. Swenson, S. Kar, and A. Ribeiro, Game Theoretic Learning, Cooperative Graph Signal Processing, pp. 209-235, Ch. 7, 2018
  2. C. Eksin, J. Shamma, and B. Touri. Multiagent Online Learning in Dynamic and Uncertain Environments, INFORMS Tutorials, 2026, to appear.

Unpublished reports

  1. S. Cardon, S. Dommers, C. Eksin, R. Sitters, A. Stougie, L. Stougie, A PTAS for the multiple depot vehicle routing problem, SPOR Report 3, 2008.