P. R. Kumar

ORCID

Publication Activity (10 Years)

Years Active: 1977-2024
Publications (10 Years): 112

Top Venues

Publications

Min Cheng, Ruida Zhou, P. R. Kumar, Chao Tian
Provable Policy Gradient Methods for Average-Reward Markov Potential Games. AISTATS (2024)
Youbang Sun, Tao Liu, P. R. Kumar, Shahin Shahrampour
Linear Convergence of Independent Natural Policy Gradient in Games with Entropy Regularization. CoRR (2024)
Min Cheng, Ruida Zhou, P. R. Kumar, Chao Tian
Provable Policy Gradient Methods for Average-Reward Markov Potential Games. CoRR (2024)
Youbang Sun, Tao Liu, P. R. Kumar, Shahin Shahrampour
Linear Convergence of Independent Natural Policy Gradient in Games With Entropy Regularization. IEEE Control. Syst. Lett. 8 (2024)
Woo-Hyun Ko, Jorge Ramos-Ruiz, Tong Huang, Jaewon Kim, Hasan Ibrahim, Prasad N. Enjeti, P. R. Kumar, Le Xie
Robust Dynamic Watermarking for Cyber-Physical Security of Inverter-Based Resources in Power Distribution Systems. IEEE Trans. Ind. Electron. 71 (7) (2024)
Hyunwook Kang, P. R. Kumar
Bounded (O(1)) Regret Recommendation Learning via Synthetic Controls Oracle. Allerton (2023)
Lantian Shangguan, Kenny Chour, Woo-Hyun Ko, Jaewon Kim, Gopal Krishna Kamath, Bharadwaj Satchidanandan, Swaminathan Gopalswamy, P. R. Kumar
Dynamic Watermarking for Cybersecurity of Autonomous Vehicles. IEEE Trans. Ind. Electron. 70 (11) (2023)
Santosh Ganji, Jaewon Kim, Romil Sonigra, P. R. Kumar
TERRA: Beam Management for Outdoor mm-Wave Networks. CoRR (2023)
Santosh Ganji, P. R. Kumar
Seeing the Unseen: The REVEAL protocol to expose the wireless Man-in-the-Middle. CoRR (2023)
Youbang Sun, Tao Liu, Ruida Zhou, P. R. Kumar, Shahin Shahrampour
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games. CoRR (2023)
Akshay Mete, Rahul Singh, P. R. Kumar
The Reward Biased Method: An Optimism based Approach for Reinforcement Learning. Allerton (2023)
Ruida Zhou, Tao Liu, Min Cheng, Dileep Kalathil, P. R. Kumar, Chao Tian
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation. NeurIPS (2023)
Ruida Zhou, Tao Liu, Min Cheng, Dileep Kalathil, P. R. Kumar, Chao Tian
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation. CoRR (2023)
Santosh Ganji, P. R. Kumar
Seeing the Unseen: The REVEAL Protocol to Catch the Wireless Man-in-the-Middle. S3@MobiCom (2023)
Yu-Heng Hung, Ping-Chun Hsieh, Akshay Mete, P. R. Kumar
Value-Biased Maximum Likelihood Estimation for Model-based Reinforcement Learning in Discounted Linear MDPs. CoRR (2023)
Faris H. Alotaibi, Hasan Ibrahim, Jaewon Kim, P. R. Kumar, Prasad Enjeti
Designing an Intrusion Detection for an Adjustable Speed Drive System Controlling a Critical Process. IEEE Access 11 (2023)
Rahul Singh, Akshay Mete, Avik Kar, P. R. Kumar
Finite Time Regret Bounds for Minimum Variance Control of Autoregressive Systems with Exogenous Inputs. CoRR (2023)
Youbang Sun, Tao Liu, Ruida Zhou, P. R. Kumar, Shahin Shahrampour
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games. NeurIPS (2023)
Le Xie, Tong Huang, P. R. Kumar, Anupam A. Thatte, Sanjoy K. Mitter
On an Information and Control Architecture for Future Electric Energy Systems. Proc. IEEE 110 (12) (2022)
Santosh Ganji, Jaewon Kim, P. R. Kumar
Terra: Blockage Resilience in Outdoor mmWave Networks. CoRR (2022)
Le Xie, Tong Huang, Xiangtian Zheng, Yan Liu, Mengdi Wang, Vijay Vittal, P. R. Kumar, Srinivas Shakkottai, Yi Cui
Energy System Digitization in the Era of AI: A Three-Layered Approach towards Carbon Neutrality. CoRR (2022)
Le Xie, Tong Huang, P. R. Kumar, Anupam A. Thatte, Sanjoy K. Mitter
On a Control Architecture for Future Electric Energy Systems. CoRR (2022)
Akshay Mete, Rahul Singh, P. R. Kumar
The RBMLE method for Reinforcement Learning. CISS (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)
Tao Liu, P. R. Kumar, Ruida Zhou, Xi Liu
Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales. NeurIPS (2022)
Santosh Ganji, Jaewon Kim, P. R. Kumar
Terra: blockage resilience in outdoor mm-wave networks. SIGCOMM Posters and Demos (2022)
Ruida Zhou, Tao Liu, Dileep Kalathil, P. R. Kumar, Chao Tian
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning. NeurIPS (2022)
Le Xie, Tong Huang, Xiangtian Zheng, Yan Liu, Mengdi Wang, Vijay Vittal, P. R. Kumar, Srinivas Shakkottai, Yi Cui
Energy system digitization in the era of AI: A three-layered approach toward carbon neutrality. Patterns 3 (12) (2022)
Akshay Mete, Rahul Singh, P. R. Kumar
Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems. NeurIPS (2022)
Venkata Siva Santosh Ganji, Tzu-Hsiang Lin, Francisco A. Espinal, P. R. Kumar
BeamSurfer: Minimalist Beam Management of Mobile mm-Wave Devices. IEEE Trans. Wirel. Commun. 21 (11) (2022)
Akshay Mete, Rahul Singh, P. R. Kumar
Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems. CoRR (2022)
Yu-Heng Hung, Ping-Chun Hsieh, Xi Liu, P. R. Kumar
Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits. AAAI (2021)
Santosh Ganji, Tzu-Hsiang Lin, Francisco A. Espinal, P. R. Kumar
BeamSurfer: Minimalist Beam Management of Mobile mm-Wave Devices. CoRR (2021)
Venkata Siva Santosh Ganji, Tzu-Hsiang Lin, Jaewon Kim, P. R. Kumar
Silent Tracker: In-band Beam Management for Soft Handover for mm-Wave Networks. CoRR (2021)
Venkata Siva Santosh Ganji, Tzu-Hsiang Lin, Francisco A. Espinal, P. R. Kumar
UNBLOCK: Low Complexity Transient Blockage Recovery for Mobile mm-Wave Devices. CoRR (2021)
Santosh Ganji, Romil Sonigra, P. R. Kumar
Overcoming Pedestrian Blockage in mm-Wave Bands using Ground Reflections. CoRR (2021)
Tao Liu, P. R. Kumar, Xi Liu
Learning from Small Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales. CoRR (2021)
Venkata Siva Santosh Ganji, Tzu-Hsiang Lin, Francisco A. Espinal, P. R. Kumar
UNBLOCK: Low Complexity Transient Blockage Recovery for Mobile mm-Wave Devices. COMSNETS (2021)
Santosh Ganji, Tzu-Hsiang Lin, Jaewon Kim, P. R. Kumar
Silent tracker: in-band beam management for soft handover for mm-wave networks. SIGCOMM Posters and Demos (2021)
Lu Zhang, Bin Wang, Vivek Sarin, Weiping Shi, P. R. Kumar, Le Xie
An Efficient Network Solver for Dynamic Simulation of Power Systems Based on Hierarchical Inverse Computation and Modification. CoRR (2021)
Tao Liu, Ruida Zhou, Dileep Kalathil, P. R. Kumar, Chao Tian
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs. CoRR (2021)
Akshay Mete, Rahul Singh, Xi Liu, P. R. Kumar
Reward Biased Maximum Likelihood Estimation for Reinforcement Learning. L4DC (2021)
Tao Liu, Ruida Zhou, Dileep Kalathil, P. R. Kumar, Chao Tian
Fast Global Convergence of Policy Optimization for Constrained MDPs. CoRR (2021)
Rahul Singh, P. R. Kumar
Adaptive CSMA for Decentralized Scheduling of Multi-Hop Networks With End-to-End Deadline Constraints. IEEE/ACM Trans. Netw. 29 (3) (2021)
Ke Ma, P. R. Kumar
Incentive Compatibility in Stochastic Dynamic Systems. IEEE Trans. Autom. Control. 66 (2) (2021)
Venkata Siva Santosh Ganji, Tzu-Hsiang Lin, Francisco A. Espinal, P. R. Kumar
BeamSurfer: simple in-band beam management for mobile mm-wave devices. SIGCOMM Posters and Demos (2020)
Tong Huang, Bin Wang, Jorge Ramos-Ruiz, Prasad Enjeti, P. R. Kumar, Le Xie
Detection of Cyber Attacks in Renewable-rich Microgrids Using Dynamic Watermarking. CoRR (2020)
Yu-Heng Hung, Ping-Chun Hsieh, Xi Liu, P. R. Kumar
Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits. CoRR (2020)
Xi Liu, Ping-Chun Hsieh, Yu-Heng Hung, Anirban Bhattacharya, P. R. Kumar
Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits. ICML (2020)
Bharadwaj Satchidanandan, P. R. Kumar
The Watermark-Securable Subspace of a Linear System Containing a Single Malicious Actuator. COMSNETS (2020)
Bharadwaj Satchidanandan, P. R. Kumar
On the Design of Security-Guaranteeing Dynamic Watermarks. IEEE Control. Syst. Lett. 4 (2) (2020)
Arun Padakandla, P. R. Kumar, Wojciech Szpankowski
The Trade-Off Between Privacy and Fidelity via Ehrhart Theory. IEEE Trans. Inf. Theory 66 (4) (2020)
Sivaranjani S., P. R. Kumar, Le Xie
A Privacy Preserving Model-Free Optimization and Control Framework for Demand Response from Residential Thermal Loads. CDC (2020)
Woo-Hyun Ko, Bharadwaj Satchidanandan, P. R. Kumar
Dynamic Watermarking-based Defense of Transportation Cyber-physical Systems. ACM Trans. Cyber Phys. Syst. 4 (1) (2020)
Akshay Mete, Rahul Singh, P. R. Kumar
Reward Biased Maximum Likelihood Estimation for Reinforcement Learning. CoRR (2020)
Rahul Singh, P. R. Kumar
Learning in Networked Control Systems. CoRR (2020)
Rahul Singh, P. R. Kumar
Throughput Optimal Decentralized Scheduling of Multihop Networks With End-to-End Deadline Constraints: Unreliable Links. IEEE Trans. Autom. Control. 64 (1) (2019)
Ping-Chun Hsieh, Xi Liu, Anirban Bhattacharya, P. R. Kumar
Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging. ICML (2019)
Bharadwaj Satchidanandan, Venkata Siva Santosh Ganji, P. R. Kumar
Iris: A Directional MAC Protocol With Applications to Millimeter-Wave Mobile Ad-Hoc Networks. COMSNETS (2019)
Rahul Singh, Gopal Krishna Kamath, P. R. Kumar
Optimal Information Updating based on Value of Information. CoRR (2019)
Rahul Singh, Gopal Krishna Kamath, P. R. Kumar
Optimal Information Updating based on Value of Information. Allerton (2019)
Ke Ma, P. R. Kumar
Incentive Compatibility in Stochastic Dynamic Systems. CoRR (2019)
Lu Zhang, Bin Wang, Dongqi Wu, Le Xie, P. R. Kumar, Weiping Shi
Fast Electromagnetic Transient Simulation Based on Hierarchical Low-Rank Approximation. ISGT (2019)
Rahul Singh, P. R. Kumar
Optimal Decentralized Dynamic Policies for Video Streaming over Wireless Channels. CoRR (2019)
Hao Ming, Le Xie, Marco Claudio Campi, Simone Garatti, P. R. Kumar
Scenario-Based Economic Dispatch With Uncertain Demand Response. IEEE Trans. Smart Grid 10 (2) (2019)
Xi Liu, Ping-Chun Hsieh, Anirban Bhattacharya, P. R. Kumar
Bandit Learning Through Biased Maximum Likelihood Estimation. CoRR (2019)
Fernando A. C. C. Fontes, Abhishek Halder, Jorge A. Becerril, P. R. Kumar
Optimal Control of Thermostatic Loads for Planning Aggregate Consumption: Characterization of Solution and Explicit Strategies. IEEE Control. Syst. Lett. 3 (4) (2019)
Bharadwaj Satchidanandan, P. R. Kumar
On the Operational Significance of the Securable Subspace for Partially Observed Linear Stochastic Systems. CDC (2018)
Ke Ma, P. R. Kumar
The Strategic LQG System: A Dynamic Stochastic VCG Framework for Optimal Coordination. CoRR (2018)
Simon Yau, Ping-Chun Hsieh, Rajarshi Bhattacharyya, K. R. Kartic Bhargav, Srinivas Shakkottai, I-Hong Hou, P. R. Kumar
PULS: Processor-Supported Ultra-Low Latency Scheduling. MobiHoc (2018)
Ke Ma, P. R. Kumar
The Strategic LQG System: A Dynamic Stochastic VCG Framework for Optimal Coordination. CDC (2018)
Xi Liu, Ke Ma, P. R. Kumar
Towards Provably Safe Mixed Transportation Systems with Human-driven and Automated Vehicles. CoRR (2018)
Bharadwaj Satchidanandan, Simon Yau, P. R. Kumar, Ahsan Aziz, Amal Ekbal, Nikhil Kundargi
TrackMAC: An IEEE 802.11ad-compatible beam tracking-based MAC protocol for 5G millimeter-wave local area networks. COMSNETS (2018)
Ping-Chun Hsieh, Xi Liu, Anirban Bhattacharya, P. R. Kumar
Heteroscedastic Bandits with Reneging. CoRR (2018)
Arun Padakandla, P. R. Kumar, Wojciech Szpankowski
Preserving Privacy and Fidelity via Ehrhart Theory. ISIT (2018)
Mohammadhussein Rafieisakhaei, Suman Chakravorty, P. R. Kumar
On the Use of the Observability Gramian for Partially Observed Robotic Path Planning Problems. CoRR (2018)
Xi Liu, Ping-Chun Hsieh, P. R. Kumar
Safe Intersection Management for Mixed Transportation Systems with Human-Driven and Autonomous Vehicles. CoRR (2018)
Rahul Singh, P. R. Kumar, Le Xie
Decentralized Control via Dynamic Stochastic Prices: The Independent System Operator Problem. IEEE Trans. Autom. Control. 63 (10) (2018)
Xueying Guo, Rahul Singh, P. R. Kumar, Zhisheng Niu
A Risk-Sensitive Approach for Packet Inter-Delivery Time Optimization in Networked Cyber-Physical Systems. IEEE/ACM Trans. Netw. 26 (4) (2018)
Tong Huang, Nikolaos M. Freris, P. R. Kumar, Le Xie
Localization of forced oscillations in the power grid under resonance conditions. CISS (2018)
Simon Yau, Ping-Chun Hsieh, Rajarshi Bhattacharyya, K. R. Kartic Bhargav, Srinivas Shakkottai, I-Hong Hou, P. R. Kumar
PULS: Processor-Supported Ultra-Low Latency Scheduling. MobiHoc (2018)
Arun Padakandla, P. R. Kumar, Wojciech Szpankowski
The Trade-off between Privacy and Fidelity via Ehrhart Theory. CoRR (2018)
Bharadwaj Satchidanandan, Simon Yau, Venkata Siva Santosh Ganji, P. R. Kumar, Ahsan Aziz, Amal Ekbal, Nikhil Kundargi
A Directional Medium Access Control Protocol for 5G Millimeter-Wave Local Area Networks. COMSNETS (Extended Selected Papers) (2018)
Xi Liu, Ping-Chun Hsieh, P. R. Kumar
Safe Intersection Management for Mixed Transportation Systems with Human-Driven and Autonomous Vehicles. Allerton (2018)
Mohammadhussein Rafieisakhaei, Suman Chakravorty, P. R. Kumar
T-LQG: Closed-loop belief space planning via trajectory-optimized LQG. ICRA (2017)
Bharadwaj Satchidanandan, P. R. Kumar
Defending Cyber-Physical Systems from Sensor Attacks. COMSNETS (Revised Selected Papers and Invited Papers) (2017)
Ping-Chun Hsieh, Xi Liu, Jian Jiao, I-Hong Hou, Yunlong Zhang, P. R. Kumar
Throughput-Optimal Scheduling for Multi-Hop Networked Transportation Systems With Switch-Over Delay. MobiHoc (2017)
Mohammadhussein Rafieisakhaei, Suman Chakravorty, P. R. Kumar
On the use of the observability gramian for partially observed robotic path planning problems. CDC (2017)
Tong Huang, Bharadwaj Satchidanandan, P. R. Kumar, Le Xie
An Online Defense Framework against Cyber Attacks on Automatic Generation Control. CoRR (2017)
Mohammadhussein Rafieisakhaei, Suman Chakravorty, P. R. Kumar
A near-optimal decoupling principle for nonlinear stochastic systems arising in robotic path planning and control. CDC (2017)
Mohammadhussein Rafieisakhaei, Suman Chakravorty, P. R. Kumar
Near-Optimal Belief Space Planning via T-LQG. CoRR (2017)
Bharadwaj Satchidanandan, P. R. Kumar
The securable subspace of a linear stochastic system with malicious sensors and actuators. Allerton (2017)
Woo-Hyun Ko, P. R. Kumar
Outlier rejection for networked control systems based on middleware. CCNC (2017)
Bharadwaj Satchidanandan, P. R. Kumar
Dynamic Watermarking: Active Defense of Networked Cyber-Physical Systems. Proc. IEEE 105 (2) (2017)
Luoyi Fu, Xinbing Wang, P. R. Kumar
Are We Connected? Optimal Determination of Source-Destination Connectivity in Random Networks. IEEE/ACM Trans. Netw. 25 (2) (2017)
Mohammadhussein Rafieisakhaei, Suman Chakravorty, P. R. Kumar
MT-LQG: Multi-agent planning in belief space via trajectory-optimized LQG. ICRA (2017)
Rahul Singh, P. R. Kumar, Eytan H. Modiano
Throughput Optimal Decentralized Scheduling of Multi-Hop Networks with End-to-End Deadline Constraints: II Wireless Networks with Interference. CoRR (2017)
Ping-Chun Hsieh, Xi Liu, Jian Jiao, I-Hong Hou, Yunlong Zhang, P. R. Kumar
Throughput-Optimal Scheduling for Multi-Hop Networked Transportation Systems With Switch-Over Delay. CoRR (2017)
Mohammadhussein Rafieisakhaei, Suman Chakravorty, P. R. Kumar
A Near-Optimal Separation Principle for Nonlinear Stochastic Systems Arising in Robotic Path Planning and Control. CoRR (2017)
Jonathan Ponniah, Yih-Chun Hu, P. R. Kumar
A Clean Slate Approach to Secure Ad Hoc Wireless Networking-Open Unsynchronized Networks. IEEE Trans. Control. Netw. Syst. 4 (1) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

P. R. Kumar