2024
Power Is Knowledge: Distributed and Throughput Optimal Power Control in Wireless Networks.
IEEE/ACM Trans. Netw., December, 2024
Gamekeeper: Online Learning for Admission Control of Networked Open Multiagent Systems.
IEEE Trans. Autom. Control., November, 2024
We Are Legion: High Probability Regret Bound in Adversarial Multiagent Online Learning.
IEEE Control. Syst. Lett., 2024
Learning to Control Unknown Strongly Monotone Games.
CoRR, 2024
2023
Personalized and Energy-Efficient Health Monitoring: A Reinforcement Learning Approach.
IEEE Control. Syst. Lett., 2023
Tug of Peace: Distributed Learning for Quality of Service Guarantees.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Admission Control for Games with a Dynamic Set of Players.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Equilibrium Bandits: Learning Optimal Equilibria of Unknown Dynamics.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
2022
Smart Greedy Distributed Energy Allocation: A Random Games Approach.
IEEE Trans. Autom. Control., 2022
Informational Cascades With Nonmyopic Agents.
IEEE Trans. Autom. Control., 2022
No Weighted-Regret Learning in Adversarial Bandits with Delays.
J. Mach. Learn. Res., 2022
Queue Up Your Regrets: Achieving the Dynamic Capacity Region of Multiplayer Bandits.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Active Testing for an Emerging Epidemic.
Proceedings of the IEEE International Conference on E-health Networking, 2022
2021
Consensus-Based Stochastic Control for Model-Free Cell Balancing.
IEEE Trans. Control. Netw. Syst., 2021
Wireless Body Area Network Control Policies for Energy-Efficient Health Monitoring.
Sensors, 2021
Game of Thrones: Fully Distributed Learning for Multiplayer Bandits.
Math. Oper. Res., 2021
One for All and All for One: Distributed Learning of Fair Allocations With Multi-Player Bandits.
IEEE J. Sel. Areas Inf. Theory, 2021
No Discounted-Regret Learning in Adversarial Bandits with Delays.
CoRR, 2021
Online Learning for Load Balancing of Unknown Monotone Resource Allocation Games.
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
Distributed Distillation for On-Device Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Cooperative Multi-player Bandit Optimization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits.
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Asymptotically Optimal Resource Block Allocation With Limited Feedback.
IEEE Trans. Wirel. Commun., 2019
Game Theoretic Dynamic Channel Allocation for Frequency-Selective Interference Channels.
IEEE Trans. Inf. Theory, 2019
Distributed Learning for Channel Allocation Over a Shared Spectrum.
IEEE J. Sel. Areas Commun., 2019
Multiagent Autonomous Learning for Distributed Channel Allocation in Wireless Networks.
Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019
Asymptotically Optimal Distributed Gateway Load-Balancing for the Internet of Things.
Proceedings of the 10th International Conference on Networks of the Future, 2019
Online EXP3 Learning in Adversarial Bandits with Delayed Feedback.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Smart Greedy Distributed Allocation in Microgrids.
Proceedings of the 2019 IEEE International Conference on Communications, 2019
The Power of Consensus: Optimal Distributed Multichannel Wireless Transmitter Power Control.
Proceedings of the 2019 IEEE International Conference on Communications, 2019
Controlling Contact Network Topology to Prevent Measles Outbreaks.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Informational cascades can be avoided with non-myopic agents.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019
2018
Approximate Best-Response Dynamics in Random Interference Games.
IEEE Trans. Autom. Control., 2018
Efficient and asymptotically optimal resource block allocation.
Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018
Distributed Multi-Player Bandits - a Game of Thrones Approach.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Characterizing Non-Myopic Information Cascades in Bayesian Learning.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
Game theoretic resource allocation form-dependent channels with application to OFDMA.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
Convergence of approximate best-response dynamics in interference games.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2015
Asymptotically optimal distributed channel allocation: A competitive game-theoretic approach.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015