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05/31/2023
Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning
We examine online safe multi-agent reinforcement learning using constrai...
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09/24/2022
Tradeoffs between convergence rate and noise amplification for momentum-based accelerated optimization algorithms
We study momentum-based first-order optimization algorithms in which the...
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06/06/2022
Convergence and sample complexity of natural policy gradient primal-dual methods for constrained MDPs
We study sequential decision making problems aimed at maximizing the exp...
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02/08/2022
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence
We examine global non-asymptotic convergence properties of policy gradie...
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09/01/2021
Can Decentralized Control Outperform Centralized? The Role of Communication Latency
In this paper, we examine the influence of communication latency on perf...
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03/14/2021
Transient growth of accelerated first-order methods for strongly convex optimization problems
Optimization algorithms are increasingly being used in applications with...
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03/01/2020
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization
We study the Safe Reinforcement Learning (SRL) problem using the Constra...
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12/26/2019
Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem
Model-free reinforcement learning attempts to find an optimal control ac...
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10/02/2019
Global exponential stability of primal-dual gradient flow dynamics based on the proximal augmented Lagrangian: A Lyapunov-based approach
For a class of nonsmooth composite optimization problems with linear equ...
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08/26/2019
Stochastic dynamical modeling of turbulent flows
Advanced measurement techniques and high performance computing have made...
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08/23/2019
Proximal gradient flow and Douglas-Rachford splitting dynamics: global exponential stability via integral quadratic constraints
Many large-scale and distributed optimization problems can be brought in...
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08/07/2019
Fast multi-agent temporal-difference learning via homotopy stochastic primal-dual optimization
We consider a distributed multi-agent policy evaluation problem in reinf...
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05/27/2019
Robustness of accelerated first-order algorithms for strongly convex optimization problems
We study the robustness of accelerated first-order algorithms to stochas...
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07/04/2018
Proximal algorithms for large-scale statistical modeling and optimal sensor/actuator selection
Several problems in modeling and control of stochastically-driven dynami...
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12/29/2017
Structured decentralized control of positive systems with applications to combination drug therapy and leader selection in directed networks
We study a class of structured optimal control problems in which the mai...
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09/05/2017