Dileep M. Kalathil

Jeyavijayan Rajendran

Proceedings of the 33rd USENIX Security Symposium, 2024

Structured Reinforcement Learning for Media Streaming at the Wireless Edge.

[BibT_eX]

[DOI]

Archana Bura

Sarat Chandra Bobbili

Proceedings of the Twenty-fifth International Symposium on Theory, 2024

Optimal Control of Material Micro-Structures.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2024

Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems.

[BibT_eX]

[DOI]

Amit Jena

Chandra Shekhara Kaushik Valmeekam

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Transformers are Efficient In-Context Estimators for Wireless Communication.

[BibT_eX]

[DOI]

Vicram Rajagopalan

Vishnu Teja Kunde

Krishna Narayanan

Chandra Shekhara Kaushik Valmeekam

CoRR, 2023

Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage.

[BibT_eX]

[DOI]

CoRR, 2023

LLMZip: Lossless Text Compression using Large Language Models.

[BibT_eX]

[DOI]

Krishna Narayanan

CoRR, 2023

Federated Ensemble-Directed Offline Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Distributionally Robust Behavioral Cloning for Robust Imitation Learning.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning.

[BibT_eX]

[DOI]

Zaiyan Xu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Learning to Cache and Caching to Learn: Regret Analysis of Caching Algorithms.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2022

QFlow: A Learning Approach to High QoE Video Streaming at the Wireless Edge.

[BibT_eX]

[DOI]

Rajarshi Bhattacharyya

IEEE/ACM Trans. Netw., 2022

Decoupled Data-Based Approach for Learning to Control Nonlinear Dynamical Systems.

[BibT_eX]

[DOI]

Ran Wang

Karthikeya S. Parunandi

Dan Yu

Suman Chakravorty

IEEE Trans. Autom. Control., 2022

Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments.

[BibT_eX]

[DOI]

CoRR, 2022

Robust Reinforcement Learning Algorithm for Vision-based Ship Landing of UAVs.

[BibT_eX]

[DOI]

CoRR, 2022

Distributed Learning of Neural Lyapunov Functions for Large-Scale Networked Dissipative Systems.

[BibT_eX]

[DOI]

CoRR, 2022

The Impact of Heavy-Duty Vehicle Electrification on Large Power Grids: a Synthetic Texas Case Study.

[BibT_eX]

[DOI]

CoRR, 2022

Intelligent Vision-based Autonomous Ship Landing of VTOL UAVs.

[BibT_eX]

[DOI]

CoRR, 2022

Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Robust Reinforcement Learning using Offline Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

PyProD: A Machine Learning-Friendly Platform for Protection Analytics in Distribution Systems.

[BibT_eX]

[DOI]

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

Multi-Agent Learning via Markov Potential Games in Marketplaces for Distributed Energy Resources.

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Online Learning for Predictive Control with Provable Regret Guarantees.

[BibT_eX]

[DOI]

Jianjun Yuan

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Meta-Learning Online Control for Linear Dynamical Systems.

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Sample Complexity of Robust Reinforcement Learning with a Generative Model.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Safe Online Convex Optimization with Unknown Linear Safety Constraints.

[BibT_eX]

[DOI]

Sapana Chaudhary

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Selling Demand Response Using Options.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2021

Bounded Regret for Finitely Parameterized Multi-Armed Bandits.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2021

Off-Policy Evaluation Using Information Borrowing and Context-Based Switching.

[BibT_eX]

[DOI]

CoRR, 2021

Safe Exploration for Constrained Reinforcement Learning with Provable Guarantees.

[BibT_eX]

[DOI]

CoRR, 2021

Online Robust Control of Linear Dynamical Systems with Prediction.

[BibT_eX]

[DOI]

CoRR, 2021

Online Learning for Receding Horizon Control with Provable Regret Guarantees.

[BibT_eX]

[DOI]

Jianjun Yuan

CoRR, 2021

Fast Global Convergence of Policy Optimization for Constrained MDPs.

[BibT_eX]

[DOI]

CoRR, 2021

OTTR: Off-Road Trajectory Tracking using Reinforcement Learning.

[BibT_eX]

[DOI]

Akhil Nagariya

Srikanth Saripalli

CoRR, 2021

Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Model-Based Reinforcement Learning for Infinite-Horizon Discounted Constrained Markov Decision Processes.

[BibT_eX]

[DOI]

Aria HasanzadeZonuzy

Kishan Panaganti Badrinath

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Sample Complexity of Model-Based Robust Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Distributed Learning-based Stability Assessment for Large Scale Networks of Dissipative Systems.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Reinforcement Learning for Mean Field Games with Strategic Complementarities.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Mechanism Design for Demand Response Programs.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2020

A Vision-Based Control Method for Autonomous Landing of Vertical Flight Aircraft On a Moving Platform Without Using GPS.

[BibT_eX]

[DOI]

CoRR, 2020

Fully Decentralized Reinforcement Learning-based Control of Photovoltaics in Distribution Grids for Joint Provision of Real and Reactive Power.

[BibT_eX]

[DOI]

Rayan El Helou

CoRR, 2020

Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs.

[BibT_eX]

[DOI]

Aria HasanzadeZonuzy

CoRR, 2020

Learning Trembling Hand Perfect Mean Field Equilibrium for Dynamic Mean Field Games.

[BibT_eX]

[DOI]

CoRR, 2020

Model-Free Robust Reinforcement Learning with Linear Function Approximation.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Reinforcement Learning-Based Robust Protection in Electric Distribution Grids.

[BibT_eX]

[DOI]

Dongqi Wu

CoRR, 2020

On the Search for Feedback in Reinforcement Learning.

[BibT_eX]

[DOI]

Ran Wang

Karthikeya S. Parunandi

Dan Yu

Suman Chakravorty

CoRR, 2020

D2C 2.0: Decoupled Data-Based Approach for Learning to Control Stochastic Nonlinear Systems via Model-Free ILQR.

[BibT_eX]

[DOI]

Karthikeya S. Parunandi

Aayushman Sharma

Suman Chakravorty

CoRR, 2020

Reinforcement Learning for Multi-Hop Scheduling and Routing of Real-Time Flows.

[BibT_eX]

[DOI]

Aria HasanzadeZonuzy

Proceedings of the 18th International Symposium on Modeling and Optimization in Mobile, 2020

Communication-free Voltage Regulation in Distribution Networks with Deep PV Penetration.

[BibT_eX]

[DOI]

Rayan El Helou

Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

2019

The Sharing Economy for the Electricity Storage.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2019

Estimating Phase Duration for SPaT Messages.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2019

QFlow: A Reinforcement Learning Approach to High QoE Video Streaming over Wireless Networks.

[BibT_eX]

[DOI]

Rajarshi Bhattacharyya

Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2019

Reducing Time Headway in Homogeneous CACC Vehicle Platoons in the Presence of Packet Drops.

[BibT_eX]

[DOI]

Proceedings of the 17th European Control Conference, 2019

A Market for Retail Electric Provider Based Demand Response.

[BibT_eX]

[DOI]

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

Nested Reinforcement Learning Based Control for Protective Relays in Power Distribution Systems.

[BibT_eX]

[DOI]

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

2018

Optimal Decentralized Control With Asymmetric One-Step Delayed Information Sharing.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2018

On Regret-Optimal Learning in Decentralized Multiplayer Multiarmed Bandits.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2018

Baseline Estimation and Scheduling for Demand Response.

[BibT_eX]

[DOI]

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

The Sharing Economy for Residential Solar Generation.

[BibT_eX]

[DOI]

Rodrigo Henriquez-Auba

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

2017

Approachability in Stackelberg Stochastic Games with Vector Costs.

[BibT_eX]

[DOI]

Dyn. Games Appl., 2017

2016

Empirical Dynamic Programming.

[BibT_eX]

[DOI]

William B. Haskell

Math. Oper. Res., 2016

The Sharing Economy for the Smart Grid.

[BibT_eX]

[DOI]

CoRR, 2016

Sharing electricity storage.

[BibT_eX]

[DOI]

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

Mechanism design for self-reporting baselines in Demand Response.

[BibT_eX]

[DOI]

Proceedings of the 2016 American Control Conference, 2016

2015

On Regret-Optimal Learning in Decentralized Multi-player Multi-armed Bandits.

[BibT_eX]

[DOI]

CoRR, 2015

Coordination of wind power and flexible load through demand response options.

[BibT_eX]

[DOI]

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

Online learning for demand response.

[BibT_eX]

[DOI]

Ram Rajagopal

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014

Decentralized Learning for Multiplayer Multiarmed Bandits.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2014

Empirical Q-Value Iteration.

[BibT_eX]

[DOI]

CoRR, 2014

A Learning Scheme for Approachability in MDPs and Stackelberg Stochastic Games.

[BibT_eX]

[DOI]

CoRR, 2014

Blackwell's approachability in stackelberg stochastic games: A learning version.

[BibT_eX]

[DOI]

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Empirical policy iteration for approximate dynamic programming.

[BibT_eX]

[DOI]

William B. Haskell

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Optimal decentralized control in unidirectional one-step delayed sharing pattern with partial output feedback.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2014

Empirical Value Iteration for approximate dynamic programming.

[BibT_eX]

[DOI]

William B. Haskell

Proceedings of the American Control Conference, 2014

2013

Spectrum Sharing through Contracts for Cognitive Radios.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2013

Optimal decentralized control in unidirectional one-step delayed sharing pattern.

[BibT_eX]

[DOI]

Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012

Incentives for cooperative relaying in a simple information-theoretic model.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Decentralized learning for multi-player multi-armed bandits.

[BibT_eX]

[DOI]

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Multi-player multi-armed bandits: Decentralized learning with IID rewards.

[BibT_eX]

[DOI]

Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2010

A contracts-based approach for spectrum sharing among cognitive radios.

[BibT_eX]

[DOI]

Proceedings of the 8th International Symposium on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks (WiOpt 2010), May 31, 2010

Communication games on the generalized Gaussian relay channel.

[BibT_eX]

[DOI]