Jayanth Bhargav

12 papers A* 1C 1Misc 1Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Distributed Equilibrium-Seeking in Target Coverage Games via Self-Configurable Networks under Limited Communication.
CoRR
Jayanth Bhargav, Zirui Xu, Vasileios Tzoumas, Mahsa Ghasemi, Shreyas Sundaram
2026 J jnl
Microservice Architecture Patterns for Scalable Machine Learning Systems.
CoRR
Sowjanya Karanam, Jayanth Bhargav
2025 A* conf
Online Laplacian-Based Representation Learning in Reinforcement Learning.
ICML
Maheed H. Ahmed, Jayanth Bhargav, Mahsa Ghasemi
2025 J jnl
Robust Information Selection for Hypothesis Testing with Misclassification Penalties.
CoRR
Jayanth Bhargav, Shreyas Sundaram, Mahsa Ghasemi
2025 — conf
Sensor Scheduling in Intrusion Detection Games with Uncertain Payoffs.
L4DC
Jayanth Bhargav, Shreyas Sundaram, Mahsa Ghasemi
2025 J jnl
Sensor Scheduling in Intrusion Detection Games with Uncertain Payoffs.
CoRR
Jayanth Bhargav, Shreyas Sundaram, Mahsa Ghasemi
2024 J jnl
Optimal Sensor and Actuator Selection for Factored Markov Decision Processes: Complexity, Approximability and Algorithms.
CoRR
Jayanth Bhargav, Mahsa Ghasemi, Shreyas Sundaram
2024 J jnl
Submodular Information Selection for Hypothesis Testing with Misclassification Penalties.
CoRR
Jayanth Bhargav, Mahsa Ghasemi, Shreyas Sundaram
2024 — conf
Submodular information selection for hypothesis testing with misclassification penalties.
L4DC
Jayanth Bhargav, Mahsa Ghasemi, Shreyas Sundaram
2023 C conf
On the Complexity and Approximability of Optimal Sensor Selection for Mixed-Observable Markov Decision Processes.
ACC
Jayanth Bhargav, Mahsa Ghasemi, Shreyas Sundaram
2022 Misc conf
Deriving Spatial Policies for Overtaking Maneuvers with Autonomous Vehicles.
COMSNETS
Jayanth Bhargav, Johannes Betz, Hongrui Zheng, Rahul Mangharam
2021 J jnl
Track based Offline Policy Learning for Overtaking Maneuvers with Autonomous Racecars.
CoRR
Jayanth Bhargav, Johannes Betz, Hongrui Zheng, Rahul Mangharam