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20122026
most citedReinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration

27 citations · 206 across the 63 of their papers we have counts for

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10 papers · 1 filter

eess.SY2024★ 1 cited

Structured Reinforcement Learning for Media Streaming at the Wireless Edge

Archana Bura, Sarat Chandra Bobbili, Shreyas Rameshkumar +3

Media streaming is the dominant application over wireless edge (access) networks. The increasing softwarization of such networks has led to efforts at intelligent control, wherein…

eess.SY2023

Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems

Amit Jena, Dileep Kalathil, Le Xie

This paper addresses the problem of Neural Network (NN) based adaptive stability certification in a dynamical system. The state-of-the-art methods, such as Neural Lyapunov Function…

eess.SY2022

Optimal Control of Material Micro-Structures

Aayushman Sharma, Zirui Mao, Haiying Yang +3

In this paper, we consider the optimal control of material micro-structures. Such material micro-structures are modeled by the so-called phase field model. We study the underlying…

eess.SY2022★ 2 cited

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

Amit Jena, Tong Huang, S. Sivaranjani +2

This paper considers the problem of characterizing the stability region of a large-scale networked system comprised of dissipative nonlinear subsystems, in a distributed and comput…

eess.SY2022

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

Rayan El Helou, S. Sivaranjani, Dileep Kalathil +2

The electrification of heavy-duty vehicles (HDEVs) is a nascent and rapidly emerging avenue for decarbonization of the transportation sector. In this paper, we examine the impacts…

eess.SY2021

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

Dongqi Wu, Dileep Kalathil, Miroslav Begovic +1

This paper introduces PyProD, a Python-based machine learning (ML)-compatible test-bed for evaluating the efficacy of protection schemes in electric distribution grids. This testbe…

eess.SY2020★ 1 cited

Deep Reinforcement Learning-BasedRobust Protection in DER-Rich Distribution Grids

Dongqi Wu, Dileep Kalathil, Miroslav Begovic +1

This paper introduces the concept of Deep Reinforcement Learning based architecture for protective relay design in power distribution systems with many distributed energy resources…

eess.SY2019★ 3 cited

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

Dongqi Wu, Xiangtian Zheng, Dileep Kalathil +1

This paper envisions a new control architecture for the protective relay setting in future power distribution systems. With deepening penetration of distributed energy resources at…

eess.SY2019

Selling Demand Response Using Options

Deepan Muthirayan, Dileep Kalathil, Sen Li +2

Wholesale electricity markets in many jurisdictions use a two-settlement structure: a day-ahead market for bulk power transactions and a real-time market for fine-grain supply-dema…

eess.SY2016★ 15 cited

The Sharing Economy for the Smart Grid

Dileep Kalathil, Chenye Wu, Kameshwar Poolla +1

The sharing economy has disrupted housing and transportation sectors. Homeowners can rent out their property when they are away on vacation, car owners can offer ride sharing servi…