Vincent Pacelli

21 papers A* 5A 1Journal 10Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fundamental Limits for Sensor-Based Control via the Gibbs Variational Principle. CoRR Vincent Pacelli, Evangelos A. Theodorou
2025	A*	`conf`	Deep Distributed Optimization for Large-Scale Quadratic Programming. ICLR Augustinos D. Saravanos, Hunter Kuperman, Alex Oshin, Arshiya Taj Abdul, Vincent Pacelli, Evangelos A. Theodorou
2025	A*	`conf`	Feedback Schrödinger Bridge Matching. ICLR Panagiotis Theodoropoulos, Nikolaos Komianos, Vincent Pacelli, Guan-Horng Liu, Evangelos A. Theodorou
2025	—	`conf`	Operator Splitting Covariance Steering for Safe Stochastic Nonlinear Control. CDC Akash Ratheesh, Vincent Pacelli, Augustinos D. Saravanos, Evangelos A. Theodorou
2024	J	`jnl`	Deep Distributed Optimization for Large-Scale Quadratic Programming. CoRR Augustinos D. Saravanos, Hunter Kuperman, Alex Oshin, Arshiya Taj Abdul, Vincent Pacelli, Evangelos A. Theodorou
2024	J	`jnl`	Feedback Schrödinger Bridge Matching. CoRR Panagiotis Theodoropoulos, Nikolaos Komianos, Vincent Pacelli, Guan-Horng Liu, Evangelos A. Theodorou
2024	J	`jnl`	Operator Splitting Covariance Steering for Safe Stochastic Nonlinear Control. CoRR Akash Ratheesh, Vincent Pacelli, Augustinos D. Saravanos, Evangelos A. Theodorou
2023	J	`jnl`	Fundamental limits for sensor-based robot control. Int. J. Robotics Res. Anirudha Majumdar, Zhiting Mei, Vincent Pacelli
2022	—	`conf`	Fundamental Performance Limits for Sensor-Based Robot Control and Policy Learning. Robotics: Science and Systems Anirudha Majumdar, Vincent Pacelli
2022	J	`jnl`	Fundamental Performance Limits for Sensor-Based Robot Control and Policy Learning. CoRR Anirudha Majumdar, Vincent Pacelli
2022	A*	`conf`	Robust Control Under Uncertainty via Bounded Rationality and Differential Privacy. ICRA Vincent Pacelli, Anirudha Majumdar
2021	—	`conf`	Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning. L4DC Anoopkumar Sonar, Vincent Pacelli, Anirudha Majumdar
2021	J	`jnl`	Robust Control Under Uncertainty via Bounded Rationality and Differential Privacy. CoRR Vincent Pacelli, Anirudha Majumdar
2020	J	`jnl`	Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning. CoRR Anoopkumar Sonar, Vincent Pacelli, Anirudha Majumdar
2020	—	`conf`	Learning Task-Driven Control Policies via Information Bottlenecks. Robotics: Science and Systems Vincent Pacelli, Anirudha Majumdar
2020	J	`jnl`	Learning Task-Driven Control Policies via Information Bottlenecks. CoRR Vincent Pacelli, Anirudha Majumdar
2019	A*	`conf`	Task-Driven Estimation and Control via Information Bottlenecks. ICRA Vincent Pacelli, Anirudha Majumdar
2018	A*	`conf`	Integration of Local Geometry and Metric Information in Sampling-Based Motion Planning. ICRA Vincent Pacelli, Ömür Arslan, Daniel E. Koditschek
2018	J	`jnl`	Task-Driven Estimation and Control via Information Bottlenecks. CoRR Vincent Pacelli, Anirudha Majumdar
2017	—	`conf`	An Autonomous Vehicle Control Stack. ARCH@CPSWeek Alëna Rodionova, Matthew O'Kelly, Houssam Abbas, Vincent Pacelli, Rahul Mangharam
2017	A	`conf`	Sensory steering for sampling-based motion planning. IROS Ömür Arslan, Vincent Pacelli, Daniel E. Koditschek