Dileep M. Kalathil

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 56

Top Topics

Dynamic Programming

Reinforcement Learning

Distribution Systems

Top Venues

IEEE Trans. Smart Grid

Publications

Kishan Panaganti, Zaiyan Xu, Dileep M. Kalathil, Mohammad Ghavamzadeh
Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage. CoRR (2023)
Vishnu Saj, Bochan Lee, Dileep M. Kalathil, Moble Benedict
Robust Reinforcement Learning Algorithm for Vision-based Ship Landing of UAVs. CoRR (2022)
Bochan Lee, Vishnu Saj, Moble Benedict, Dileep M. Kalathil
Intelligent Vision-based Autonomous Ship Landing of VTOL UAVs. CoRR (2022)
Dongqi Wu, Dileep M. Kalathil, Miroslav M. Begovic, Le Xie
PyProD: A Machine Learning-Friendly Platform for Protection Analytics in Distribution Systems. HICSS (2022)
Ruida Zhou, Tao Liu, Dileep M. Kalathil, P. R. Kumar, Chao Tian
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning. CoRR (2022)
Kishan Panaganti, Dileep M. Kalathil
Sample Complexity of Robust Reinforcement Learning with a Generative Model. AISTATS (2022)
Desik Rengarajan, Gargi Vaidya, Akshay Sarvesh, Dileep M. Kalathil, Srinivas Shakkottai
Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration. CoRR (2022)
Deepan Muthirayan, Dileep M. Kalathil, Pramod P. Khargonekar
Meta-Learning Online Control for Linear Dynamical Systems. CoRR (2022)
Desik Rengarajan, Gargi Vaidya, Akshay Sarvesh, Dileep M. Kalathil, Srinivas Shakkottai
Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration. ICLR (2022)
Ran Wang, Karthikeya S. Parunandi, Dan Yu, Dileep M. Kalathil, Suman Chakravorty
Decoupled Data-Based Approach for Learning to Control Nonlinear Dynamical Systems. IEEE Trans. Autom. Control. 67 (7) (2022)
Rayan El Helou, S. Sivaranjani, Dileep M. Kalathil, Andrew Schaper, Le Xie
The Impact of Heavy-Duty Vehicle Electrification on Large Power Grids: a Synthetic Texas Case Study. CoRR (2022)
Amit Jena, Tong Huang, S. Sivaranjani, Dileep M. Kalathil, Le Xie
Distributed Learning of Neural Lyapunov Functions for Large-Scale Networked Dissipative Systems. CoRR (2022)
Kishan Panaganti, Zaiyan Xu, Dileep M. Kalathil, Mohammad Ghavamzadeh
Robust Reinforcement Learning using Offline Data. CoRR (2022)
Sapana Chaudhary, Dileep M. Kalathil
Safe Online Convex Optimization with Unknown Linear Safety Constraints. AAAI (2022)
Amit Jena, Tong Huang, S. Sivaranjani, Dileep M. Kalathil, Le Xie
Distributed Learning-based Stability Assessment for Large Scale Networks of Dissipative Systems. CDC (2021)
Ki-Yeob Lee, Desik Rengarajan, Dileep M. Kalathil, Srinivas Shakkottai
Reinforcement Learning for Mean Field Games with Strategic Complementarities. AISTATS (2021)
Aria HasanzadeZonuzy, Dileep M. Kalathil, Srinivas Shakkottai
Model-Based Reinforcement Learning for Infinite-Horizon Discounted Constrained Markov Decision Processes. IJCAI (2021)
Deepan Muthirayan, Dileep M. Kalathil, Sen Li, Kameshwar Poolla, Pravin Varaiya
Selling Demand Response Using Options. IEEE Trans. Smart Grid 12 (1) (2021)
Dongqi Wu, Dileep M. Kalathil, Miroslav Begovic, Le Xie
PyProD: A Machine Learning-Friendly Platform for Protection Analytics in Distribution Systems. CoRR (2021)
Deepan Muthirayan, Jianjun Yuan, Dileep M. Kalathil, Pramod P. Khargonekar
Online Learning for Receding Horizon Control with Provable Regret Guarantees. CoRR (2021)
Archana Bura, Aria HasanzadeZonuzy, Dileep M. Kalathil, Srinivas Shakkottai, Jean-François Chamberland
Safe Exploration for Constrained Reinforcement Learning with Provable Guarantees. CoRR (2021)
Kishan Panaganti, Dileep M. Kalathil
Bounded Regret for Finitely Parameterized Multi-Armed Bandits. IEEE Control. Syst. Lett. 5 (3) (2021)
Deepan Muthirayan, Dileep M. Kalathil, Pramod P. Khargonekar
Online Robust Control of Linear Dynamical Systems with Prediction. CoRR (2021)
Aria HasanzadeZonuzy, Archana Bura, Dileep M. Kalathil, Srinivas Shakkottai
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs. AAAI (2021)
Deepan Muthirayan, Dileep M. Kalathil, Kameshwar Poolla, Pravin Varaiya
Mechanism Design for Demand Response Programs. IEEE Trans. Smart Grid 11 (1) (2020)
Ki-Yeob Lee, Desik Rengarajan, Dileep M. Kalathil, Srinivas Shakkottai
Learning Trembling Hand Perfect Mean Field Equilibrium for Dynamic Mean Field Games. CoRR (2020)
Rayan El Helou, Dileep M. Kalathil, Le Xie
Fully Decentralized Reinforcement Learning-based Control of Photovoltaics in Distribution Grids for Joint Provision of Real and Reactive Power. CoRR (2020)
Rayan El Helou, Dileep M. Kalathil, Le Xie
Communication-free Voltage Regulation in Distribution Networks with Deep PV Penetration. HICSS (2020)
Ran Wang, Karthikeya S. Parunandi, Dan Yu, Dileep M. Kalathil, Suman Chakravorty
On the Search for Feedback in Reinforcement Learning. CoRR (2020)
Kishan Panaganti, Dileep M. Kalathil
Model-Free Robust Reinforcement Learning with Linear Function Approximation. CoRR (2020)
Karthikeya S. Parunandi, Aayushman Sharma, Suman Chakravorty, Dileep M. Kalathil
D2C 2.0: Decoupled Data-Based Approach for Learning to Control Stochastic Nonlinear Systems via Model-Free ILQR. CoRR (2020)
Archana Bura, Desik Rengarajan, Dileep M. Kalathil, Srinivas Shakkottai, Jean-François Chamberland-Tremblay
Learning to Cache and Caching to Learn: Regret Analysis of Caching Algorithms. CoRR (2020)
Dongqi Wu, Dileep M. Kalathil, Le Xie
Deep Reinforcement Learning-Based Robust Protection in Electric Distribution Grids. CoRR (2020)
Aria HasanzadeZonuzy, Dileep M. Kalathil, Srinivas Shakkottai
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs. CoRR (2020)
Kishan Panaganti, Dileep M. Kalathil
Bounded Regret for Finitely Parameterized Multi-Armed Bandits. CoRR (2020)
Aria HasanzadeZonuzy, Dileep M. Kalathil, Srinivas Shakkottai
Reinforcement Learning for Multi-Hop Scheduling and Routing of Real-Time Flows. WiOpt (2020)
Dileep M. Kalathil, Chenye Wu, Kameshwar Poolla, Pravin Varaiya
The Sharing Economy for the Electricity Storage. IEEE Trans. Smart Grid 10 (1) (2019)
Rajarshi Bhattacharyya, Archana Bura, Desik Rengarajan, Mason Rumuly, Srinivas Shakkottai, Dileep M. Kalathil, Ricky K. P. Mok, Amogh Dhamdhere
QFlow: A Reinforcement Learning Approach to High QoE Video Streaming over Wireless Networks. MobiHoc (2019)
Bainan Xia, Ki-Yeob Lee, Srinivas Shakkottai, Dileep M. Kalathil
A Market for Retail Electric Provider Based Demand Response. CDC (2019)
Deepan Muthirayan, Dileep M. Kalathil, Sen Li, Kameshwar Poolla, Pravin Varaiya
Selling Demand Response Using Options. CoRR (2019)
Vamsi K. Vegamoor, Dileep M. Kalathil, Sivakumar Rathinam, Swaroop Darbha
Reducing Time Headway in Homogeneous CACC Vehicle Platoons in the Presence of Packet Drops. ECC (2019)
Dongqi Wu, Xiangtian Zheng, Dileep M. Kalathil, Le Xie
Nested Reinforcement Learning Based Control for Protective Relays in Power Distribution Systems. CoRR (2019)
Rajarshi Bhattacharyya, Archana Bura, Desik Rengarajan, Mason Rumuly, Srinivas Shakkottai, Dileep M. Kalathil, Ricky K. P. Mok, Amogh Dhamdhere
QFlow: A Reinforcement Learning Approach to High QoE Video Streaming over Wireless Networks. CoRR (2019)
Shahana Ibrahim, Dileep M. Kalathil, René Osorio Sanchez, Pravin Varaiya
Estimating Phase Duration for SPaT Messages. IEEE Trans. Intell. Transp. Syst. 20 (7) (2019)
Dongqi Wu, Xiangtian Zheng, Dileep M. Kalathil, Le Xie
Nested Reinforcement Learning Based Control for Protective Relays in Power Distribution Systems. CDC (2019)
Ran Wang, Karthikeya S. Parunandi, Dan Yu, Dileep M. Kalathil, Suman Chakravorty
Decoupled Data Based Approach for Learning to Control Nonlinear Dynamical Systems. CoRR (2019)
Rodrigo Henriquez-Auba, Patricia Pauli, Dileep M. Kalathil, Duncan S. Callaway, Kameshwar Poolla
The Sharing Economy for Residential Solar Generation. CDC (2018)
Naumaan Nayyar, Dileep M. Kalathil, Rahul Jain
On Regret-Optimal Learning in Decentralized Multiplayer Multiarmed Bandits. IEEE Trans. Control. Netw. Syst. 5 (1) (2018)
Deepan Muthirayan, Dileep M. Kalathil, Kameshwar Poolla, Pravin Varaiya
Baseline Estimation and Scheduling for Demand Response. CDC (2018)
Naumaan Nayyar, Dileep M. Kalathil, Rahul Jain
Optimal Decentralized Control With Asymmetric One-Step Delayed Information Sharing. IEEE Trans. Control. Netw. Syst. 5 (1) (2018)
Deepan Muthirayan, Dileep M. Kalathil, Kameshwar Poolla, Pravin Varaiya
Mechanism Design for Demand Response Programs. CoRR (2017)
Dileep M. Kalathil, Vivek S. Borkar, Rahul Jain
Approachability in Stackelberg Stochastic Games with Vector Costs. Dyn. Games Appl. 7 (3) (2017)
Chenye Wu, Dileep M. Kalathil, Kameshwar Poolla, Pravin Varaiya
Sharing electricity storage. CDC (2016)
Dileep M. Kalathil, Chenye Wu, Kameshwar Poolla, Pravin Varaiya
The Sharing Economy for the Smart Grid. CoRR (2016)
William B. Haskell, Rahul Jain, Dileep M. Kalathil
Empirical Dynamic Programming. Math. Oper. Res. 41 (2) (2016)
Deepan Muthirayan, Dileep M. Kalathil, Kameshwar Poolla, Pravin Varaiya
Mechanism design for self-reporting baselines in Demand Response. ACC (2016)
Dileep M. Kalathil, Ram Rajagopal
Online learning for demand response. Allerton (2015)
Dai Wang, Dileep M. Kalathil, Kameshwar Poolla, Xiaohong Guan
Coordination of wind power and flexible load through demand response options. CDC (2015)
Naumaan Nayyar, Dileep M. Kalathil, Rahul Jain
On Regret-Optimal Learning in Decentralized Multi-player Multi-armed Bandits. CoRR (2015)
Naumaan Nayyar, Dileep M. Kalathil, Rahul Jain
Optimal decentralized control in unidirectional one-step delayed sharing pattern with partial output feedback. ACC (2014)
William B. Haskell, Rahul Jain, Dileep M. Kalathil
Empirical policy iteration for approximate dynamic programming. CDC (2014)
Dileep M. Kalathil, Vivek S. Borkar, Rahul Jain
Blackwell's approachability in stackelberg stochastic games: A learning version. CDC (2014)
Dileep M. Kalathil, Vivek S. Borkar, Rahul Jain
A Learning Scheme for Approachability in MDPs and Stackelberg Stochastic Games. CoRR (2014)
William B. Haskell, Rahul Jain, Dileep M. Kalathil
Empirical Value Iteration for approximate dynamic programming. ACC (2014)
Dileep M. Kalathil, Naumaan Nayyar, Rahul Jain
Decentralized Learning for Multiplayer Multiarmed Bandits. IEEE Trans. Inf. Theory 60 (4) (2014)
Dileep M. Kalathil, Vivek S. Borkar, Rahul Jain
Empirical Q-Value Iteration. CoRR (2014)
Dileep M. Kalathil, Rahul Jain
Spectrum Sharing through Contracts for Cognitive Radios. IEEE Trans. Mob. Comput. 12 (10) (2013)
Naumaan Nayyar, Dileep M. Kalathil, Rahul Jain
Optimal decentralized control in unidirectional one-step delayed sharing pattern. Allerton (2013)
Dileep M. Kalathil, Naumaan Nayyar, Rahul Jain
Decentralized learning for multi-player multi-armed bandits. CDC (2012)
Dileep M. Kalathil, Naumaan Nayyar, Rahul Jain
Decentralized Learning for Multi-player Multi-armed Bandits CoRR (2012)
Dileep M. Kalathil, Naumaan Nayyar, Rahul Jain
Multi-player multi-armed bandits: Decentralized learning with IID rewards. Allerton Conference (2012)
Dileep M. Kalathil, Rahul Jain
Incentives for cooperative relaying in a simple information-theoretic model. ISIT (2012)
Dileep M. Kalathil, Rahul Jain
Communication games on the generalized Gaussian relay channel. Allerton (2010)
Dileep M. Kalathil, Rahul Jain
A contracts-based approach for spectrum sharing among cognitive radios. WiOpt (2010)