Decentralized Control of Two Agents with Nested Accessible Information. - Aditya Dave; Nishanth Venkatesh; Andreas A. Malikopoulos (ACC, 2022)

On Decentralized Minimax Control with Nested Subsystems. - Aditya Dave; Nishanth Venkatesh; Andreas A. Malikopoulos (ACC, 2022)

Approximate Information States for Worst-case Control of Uncertain Systems. - Aditya Dave; Nishanth Venkatesh; Andreas A. Malikopoulos (CDC, 2022)

On Robust Control of Partially Observed Uncertain Systems with Additive Costs. - Aditya Dave; Nishanth Venkatesh; Andreas A. Malikopoulos (ACC, 2023)

Worst-Case Control and Learning Using Partial Observations Over an Infinite Time Horizon. - Aditya Dave; Ioannis Faros; Nishanth Venkatesh; Andreas A. Malikopoulos (CDC, 2023)

Connected and Automated Vehicles in Mixed-Traffic: Learning Human Driver Behavior for Effective On-Ramp Merging. - Nishanth Venkatesh; Viet-Anh Le; Aditya Dave; Andreas A. Malikopoulos (CDC, 2023)

Stochastic control with distributionally robust constraints for cyber-physical systems vulnerable to attacks. - Nishanth Venkatesh; Aditya Dave; Ioannis Faros; Andreas A. Malikopoulos (Eur. J. Control, 2024)

Approximate Information States for Worst Case Control and Learning in Uncertain Systems. - Aditya Dave; Nishanth Venkatesh; Andreas A. Malikopoulos (IEEE Trans. Autom. Control., 2025)