2024
Approximate Global Convergence of Independent Learning in Multi-Agent Systems.
CoRR, 2024
SODA: An Adaptive Bitrate Controller for Consistent High-Quality Video Streaming.
Proceedings of the ACM SIGCOMM 2024 Conference, 2024
Online Policy Optimization in Unknown Nonlinear Systems.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024
Characterizing Controllability and Observability for Systems with Locality, Communication, and Actuation Constraints.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024
2023
Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems.
SIAM J. Control. Optim., June, 2023
Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning.
Proc. ACM Meas. Anal. Comput. Syst., March, 2023
Convergence rates for localized actor-critic in networked Markov potential games.
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Online switching control with stability and regret guarantees.
Proceedings of the Learning for Dynamics and Control Conference, 2023
2022
Online Optimization with Feedback Delay and Nonlinear Switching Cost.
Proc. ACM Meas. Anal. Comput. Syst., 2022
Equipping Black-Box Policies with Model-Based Advice for Stable Nonlinear Control.
CoRR, 2022
Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Decentralized Online Convex Optimization in Networked Systems.
Proceedings of the International Conference on Machine Learning, 2022
2021
Multi-Agent Reinforcement Learning in Stochastic Networked Systems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Online Optimization with Predictions and Non-convex Losses.
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021
2020
Online Optimization with Predictions and Non-convex Losses.
Proc. ACM Meas. Anal. Comput. Syst., 2020
Distributed Reinforcement Learning in Multi-Agent Networked Systems.
CoRR, 2020
Beyond No-Regret: Competitive Control via Online Optimization with Memory.
CoRR, 2020
Online Optimization with Memory and Competitive Control.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Beyond Online Balanced Descent: An Optimal Algorithm for Smoothed Online Optimization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019