Segui
Aditya Dave
Aditya Dave
Postdoctoral Associate
Email verificata su cornell.edu
Titolo
Citata da
Citata da
Anno
Social media and misleading information in a democracy: A mechanism design approach
A Dave, IV Chremos, AA Malikopoulos
IEEE Transactions on Automatic Control 67 (5), 2633-2639, 2021
292021
Structural results for decentralized stochastic control with a word-of-mouth communication
A Dave, AA Malikopoulos
2020 american control conference (ACC), 2796-2801, 2020
202020
Decentralized stochastic control in partially nested information structures
A Dave, AA Malikopoulos
IFAC-PapersOnLine 52 (20), 97-102, 2019
152019
Connected and automated vehicles in mixed-traffic: Learning human driver behavior for effective on-ramp merging
N Venkatesh, VA Le, A Dave, AA Malikopoulos
2023 62nd IEEE Conference on Decision and Control (CDC), 92-97, 2023
102023
Decentralized Control of Two Agents with Nested Accessible Information
A Dave, N Venkatesh, AA Malikopoulos
2022 American Control Conference (ACC), 3423-3430, 2022
92022
On decentralized minimax control with nested subsystems
A Dave, N Venkatesh, AA Malikopoulos
2022 American Control Conference (ACC), 3437-3444, 2022
92022
A dynamic program for a team of two agents with nested information
A Dave, AA Malikopoulos
2021 60th IEEE Conference on Decision and Control (CDC), 3768-3773, 2021
82021
The prescription approach to decentralized stochastic control with word-of-mouth communication
A Dave, A Malikopoulos
arXiv preprint arXiv:1907.12125, 2019
82019
Approximate information states for worst-case control of uncertain systems
A Dave, N Venkatesh, AA Malikopoulos
2022 IEEE 61st Conference on Decision and Control (CDC), 4945-4950, 2022
72022
On Robust Control of Partially Observed Uncertain Systems with Additive Costs
A Dave, N Venkatesh, AA Malikopoulos
arXiv preprint arXiv:2209.13787, 2022
7*2022
Routing in Mixed Transportation Systems for Mobility Equity
H Bang, A Dave, AA Malikopoulos
arXiv preprint arXiv:2309.03981, 2023
52023
Approximate information states for worst-case control and learning in uncertain systems
A Dave, N Venkatesh, AA Malikopoulos
arXiv preprint arXiv:2301.05089, 2023
52023
Worst-Case Control and Learning Using Partial Observations Over an Infinite Time Horizon
A Dave, I Faros, N Venkatesh, AA Malikopoulos
2023 62nd IEEE Conference on Decision and Control (CDC), 6020-6025, 2023
42023
A Q-Learning Approach for Adherence-Aware Recommendations
I Faros, A Dave, AA Malikopoulos
IEEE Control Systems Letters, 2023
22023
Performance-Sensitive Potential Functions for Efficient Flow of Connected and Automated Vehicles
FN Tzortzoglou, D Theodosis, A Dave, A Malikopoulos
arXiv preprint arXiv:2309.01238, 2023
12023
Modeling travel behavior in mobility systems with an atomic routing game and prospect theory
IV Chremos, H Bang, A Dave, VA Le, AA Malikopoulos
arXiv preprint arXiv:2303.17790, 2023
12023
Safe Merging in Mixed Traffic with Confidence
H Bang, A Dave, AA Malikopoulos
arXiv preprint arXiv:2403.05742, 2024
2024
A Framework for Effective AI Recommendations in Cyber-Physical-Human Systems
A Dave, H Bang, AA Malikopoulos
arXiv preprint arXiv:2403.05715, 2024
2024
Stochastic Control with Distributionally Robust Constraints for Cyber-Physical Systems Vulnerable to Attacks
N Venkatesh, A Dave, I Faros, AA Malikopoulos
arXiv preprint arXiv:2311.03666, 2023
2023
On Centralized and Decentralized Decision-Making Problems With Partial Information
AD Dave
University of Delaware, 2023
2023
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20