Santiago Paternain

Dharmashankar Subramanian

IEEE Trans. Autom. Control., October, 2024

State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning With Rewards.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., July, 2024

Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning.

[BibT_eX]

[DOI]

Sergio Rozada

Antonio G. Marques

IEEE Trans. Signal Process., 2024

SAD: State-Action Distillation for In-Context Reinforcement Learning under Random Policies.

[BibT_eX]

[DOI]

CoRR, 2024

Transfer Learning for a Class of Cascade Dynamical Systems.

[BibT_eX]

[DOI]

Shima Rabiei

CoRR, 2024

Data-driven Under Frequency Load Shedding Using Reinforcement Learning.

[BibT_eX]

[DOI]

Glory Justin

CoRR, 2024

Domain Adaptation for Offline Reinforcement Learning with Limited Samples.

[BibT_eX]

[DOI]

CoRR, 2024

A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms.

[BibT_eX]

[DOI]

CoRR, 2024

Real-Time Small-Signal Security Assessment Using Graph Neural Networks.

[BibT_eX]

[DOI]

Glory Justin

CoRR, 2024

Fast and Accurate Relative Motion Tracking for Two Industrial Robots.

[BibT_eX]

[DOI]

CoRR, 2024

Blackout Mitigation via Physics-guided RL.

[BibT_eX]

[DOI]

Anmol Dwivedi

Ali Tajer

CoRR, 2024

Multi-agent assignment via state augmented reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Generalized constraint for probabilistic safe reinforcement learning.

[BibT_eX]

[DOI]

Dharmashankar Subramanian

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

A Method for Bilevel Optimization with Convex Lower-Level Problem.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Adaptive Primal-Dual Method for Safe Reinforcement Learning.

[BibT_eX]

[DOI]

Koushik Kar

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Allocation of Control Authority Between Dynamic Inversion and Reinforcement Learning for Autonomous Helicopter Aerial Refueling.

[BibT_eX]

[DOI]

Damsara Jayarathne

Proceedings of the American Control Conference, 2024

Joint Trajectory Optimization for Redundant Manipulators with Constant Path Speed.

[BibT_eX]

[DOI]

Jonathan Fried

Proceedings of the American Control Conference, 2024

2023

Constrained Learning With Non-Convex Losses.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, March, 2023

Safe Policies for Reinforcement Learning via Primal-Dual Methods.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., March, 2023

Policy Gradients for Probabilistic Constrained Reinforcement Learning.

[BibT_eX]

[DOI]

Dharmashankar Subramanian

Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

Safe residual reinforcement learning for helicopter aerial refueling.

[BibT_eX]

[DOI]

Damsara Jayarathne

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2023

Learning Non-myopic Power Allocation in Constrained Scenarios.

[BibT_eX]

[DOI]

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Policy Gradient for Continuing Tasks in Discounted Markov Decision Processes.

[BibT_eX]

[DOI]

Juan Andrés Bazerque

IEEE Trans. Autom. Control., 2022

Navigation of a quadratic potential with ellipsoidal obstacles.

[BibT_eX]

[DOI]

Harshat Kumar

Autom., 2022

2021

Stochastic Policy Gradient Ascent in Reproducing Kernel Hilbert Spaces.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2021

Sufficiently Accurate Model Learning for Planning.

[BibT_eX]

[DOI]

Clark Zhang

CoRR, 2021

Towards Safe Continuing Task Reinforcement Learning.

[BibT_eX]

[DOI]

Miguel Calvo-Fullana

Proceedings of the 2021 American Control Conference, 2021

Source Seeking in Unknown Environments with Convex Obstacles.

[BibT_eX]

[DOI]

Bruno Augusto Angélico

Proceedings of the 2021 American Control Conference, 2021

2020

Sparse Multiresolution Representations With Adaptive Kernels.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

Distributed Constrained Online Learning.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

Stochastic Artificial Potentials for Online Safe Navigation.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2020

Time-Varying Convex Optimization: Time-Structured Algorithms and Applications.

[BibT_eX]

[DOI]

Georgios B. Giannakis

Proc. IEEE, 2020

Trust but Verify: Assigning Prediction Credibility by Counterfactual Constrained Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Policy Gradient for Continuing Tasks in Non-stationary Markov Decision Processes.

[BibT_eX]

[DOI]

Juan Andrés Bazerque

CoRR, 2020

Counterfactual Programming for Optimal Control.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Sufficiently Accurate Model Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

The Empirical Duality Gap of Constrained Statistical Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Resilient Control: Compromising to Adapt.

[BibT_eX]

[DOI]

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Navigation of a Quadratic Potential with Star Obstacles.

[BibT_eX]

[DOI]

Harshat Kumar

Proceedings of the 2020 American Control Conference, 2020

2019

A Newton-Based Method for Nonconvex Optimization with Fast Evasion of Saddle Points.

[BibT_eX]

[DOI]

Aryan Mokhtari

SIAM J. Optim., 2019

A Prediction-Correction Algorithm for Real-Time Model Predictive Control.

[BibT_eX]

[DOI]

Manfred Morari

CoRR, 2019

Learning Task Agnostic Sufficiently Accurate Models.

[BibT_eX]

[DOI]

CoRR, 2019

Constrained Reinforcement Learning Has Zero Duality Gap.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Sparse Learning of Parsimonious Reproducing Kernel Hilbert Space Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Real-Time Model Predictive Control Based on Prediction-Correction Algorithms.

[BibT_eX]

[DOI]

Manfred Morari

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

Constrained Online Learning in Networks with Sublinear Regret and Fit.

[BibT_eX]

[DOI]

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

Learning Safe Policies via Primal-Dual Methods.

[BibT_eX]

[DOI]

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

Policy Improvement Directions for Reinforcement Learning in Reproducing Kernel Hilbert Spaces.

[BibT_eX]

[DOI]

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

A Prediction-Correction Primal-Dual Algorithm for Distributed Optimization.

[BibT_eX]

[DOI]

Proceedings of the 2019 American Control Conference, 2019

Learning Gaussian Processes with Bayesian Posterior Optimization.

[BibT_eX]

[DOI]

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

2018

Decentralized Online Learning With Kernels.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2018

Navigation Functions for Convex Potentials in a Space With Convex Obstacles.

[BibT_eX]

[DOI]

Daniel E. Koditschek

IEEE Trans. Autom. Control., 2018

Prediction-Correction Interior-Point Method for Time-Varying Convex Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2018

A Newton Method for Faster Navigation in Cluttered Environments.

[BibT_eX]

[DOI]

Aryan Mokhtari

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Learning Policies for Markov Decision Processes in Continuous Spaces.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Prediction-Correction Method for Model Predictive Control.

[BibT_eX]

[DOI]

Manfred Morari

Proceedings of the 2018 Annual American Control Conference, 2018

Distributed Smooth and Strongly Convex Optimization with Inexact Dual Methods.

[BibT_eX]

[DOI]

Proceedings of the 2018 Annual American Control Conference, 2018

Locally Adaptive Kernel Estimation Using Sparse Functional Programming.

[BibT_eX]

[DOI]

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

Decentralized Online Nonparametric Learning.

[BibT_eX]

[DOI]

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

2017

Online Learning of Feasible Strategies in Unknown Environments.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2017

Decentralized efficient nonparametric stochastic optimization.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Safe online navigation of convex potentials in spaces with convex obstacles.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Interior point method for dynamic constrained optimization in continuous time.

[BibT_eX]

[DOI]

Proceedings of the 2016 American Control Conference, 2016

2015

Online learning of optimal strategies in unknown environments.

[BibT_eX]

[DOI]

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

2014

Design and implementation of sensor data fusion for an autonomous quadrotor.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2014

2013

Calibration of an inertial measurement unit.

[BibT_eX]

[DOI]