Vincent Pacelli

21 papers A* 5A 1Journal 10Unranked 5
YearRankTypeTitle / 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