Track based Offline Policy Learning for Overtaking Maneuvers with Autonomous Racecars. - Jayanth Bhargav; Johannes Betz; Hongrui Zheng; Rahul Mangharam (CoRR, 2021)

Deriving Spatial Policies for Overtaking Maneuvers with Autonomous Vehicles. - Jayanth Bhargav; Johannes Betz; Hongrui Zheng; Rahul Mangharam (COMSNETS, 2022)

On the Complexity and Approximability of Optimal Sensor Selection for Mixed-Observable Markov Decision Processes. - Jayanth Bhargav; Mahsa Ghasemi; Shreyas Sundaram (ACC, 2023)

Submodular information selection for hypothesis testing with misclassification penalties. - Jayanth Bhargav; Mahsa Ghasemi; Shreyas Sundaram (L4DC, 2024)

Optimal Sensor and Actuator Selection for Factored Markov Decision Processes: Complexity, Approximability and Algorithms. - Jayanth Bhargav; Mahsa Ghasemi; Shreyas Sundaram (CoRR, 2024)

Sensor Scheduling in Intrusion Detection Games with Uncertain Payoffs. - Jayanth Bhargav; Shreyas Sundaram; Mahsa Ghasemi (L4DC, 2025)

Robust Information Selection for Hypothesis Testing with Misclassification Penalties. - Jayanth Bhargav; Shreyas Sundaram; Mahsa Ghasemi (CoRR, 2025)