Brian Swenson

Games Econ. Behav., 2020

Truthful mobile crowd sensing with interdependent valuations.

[BibT_eX]

[DOI]

Proceedings of the Mobihoc '20: The Twenty-first ACM International Symposium on Theory, 2020

On Distributed Stochastic Gradient Algorithms for Global Optimization.

[BibT_eX]

[DOI]

Anirudh Sridhar

H. Vincent Poor

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Revisiting Normalized Gradient Descent: Fast Evasion of Saddle Points.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2019

Clustering with Distributed Data.

[BibT_eX]

[DOI]

CoRR, 2019

Control of Parametric Games.

[BibT_eX]

[DOI]

Proceedings of the 17th European Control Conference, 2019

Annealing for Distributed Global Optimization.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Distributed Global Optimization by Annealing.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Distributed Gradient Descent: Nonconvergence to Saddle Points and the Stable-Manifold Theorem.

[BibT_eX]

[DOI]

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

Smooth Fictitious Play in N × 2 Potential Games.

[BibT_eX]

[DOI]

H. Vincent Poor

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Distributed Inertial Best-Response Dynamics.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2018

On Best-Response Dynamics in Potential Games.

[BibT_eX]

[DOI]

SIAM J. Control. Optim., 2018

Best-Response Dynamics in Continuous Potential Games: Non-Convergence to Saddle Points.

[BibT_eX]

[DOI]

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Myopic Best-Response Learning in Large-Scale Games.

[BibT_eX]

[DOI]

PhD thesis, 2017

Single Sample Fictitious Play.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2017

Robustness Properties in Fictitious-Play-Type Algorithms.

[BibT_eX]

[DOI]

SIAM J. Control. Optim., 2017

Fictitious Play in Potential Games.

[BibT_eX]

[DOI]

CoRR, 2017

On the exponential rate of convergence of fictitious play in potential games.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016

Fictitious Play with Inertia Learns Pure Equilibria in Distributed Games with Incomplete Information.

[BibT_eX]

[DOI]

CoRR, 2016

On the design of phase locked loop oscillatory neural networks: Mitigation of transmission delay effects.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Learning pure-strategy Nash equilibria in networked multi-agent systems with uncertainty.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Computationally efficient learning in large-scale games: Sampled fictitious play revisited.

[BibT_eX]

[DOI]

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Empirical Centroid Fictitious Play: An Approach for Distributed Learning in Multi-Agent Games.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

A Computationally Efficient Implementation of Fictitious Play for Large-Scale Games.

[BibT_eX]

[DOI]

João M. F. Xavier

CoRR, 2015

From Weak Learning to Strong Learning in Fictitious Play Type Algorithms.

[BibT_eX]

[DOI]

CoRR, 2015

A computationally efficient implementation of fictitious play in a distributed setting.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Signal Processing Conference, 2015

On robustness properties in Empirical Centroid Fictitious Play.

[BibT_eX]

[DOI]

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

On asynchronous implementations of fictitious play for distributed learning.

[BibT_eX]

[DOI]

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014

Offload Destination Selection to Enable Distributed Computation on Battlefields.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Military Communications Conference, 2014

Strong convergence to mixed equilibria in fictitious play.

[BibT_eX]

[DOI]

João Manuel Freitas Xavier

Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014

Game-theoretic learning in a distributed-information setting: Distributed convergence to mean-centric equilibria.

[BibT_eX]

[DOI]

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013

Mean-centric equilibrium: An equilibrium concept for learning in large-scale games.

[BibT_eX]

[DOI]

João M. F. Xavier

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012

Distributed learning in large-scale multi-agent games: A modified fictitious play approach.

[BibT_eX]

[DOI]