Vicenç Rúbies Royo

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 18

Top Topics

Partial Observations

Reinforcement Learning

Decision Processes

Top Venues

Robotics: Science and Systems

Publications

Lasse Peters, Vicenç Rúbies Royo, Claire J. Tomlin, Laura Ferranti, Javier Alonso-Mora, Cyrill Stachniss, David Fridovich-Keil
Online and offline learning of player objectives from partial observations in dynamic games. Int. J. Robotics Res. 42 (10) (2023)
Lasse Peters, Vicenç Rúbies Royo, Claire J. Tomlin, Laura Ferranti, Javier Alonso-Mora, Cyrill Stachniss, David Fridovich-Keil
Learning Players' Objectives in Continuous Dynamic Games from Partial State Observations. CoRR (2023)
Kai-Chieh Hsu, Vicenç Rúbies Royo, Claire J. Tomlin, Jaime F. Fisac
Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning. CoRR (2021)
Lasse Peters, David Fridovich-Keil, Vicenç Rúbies Royo, Claire J. Tomlin, Cyrill Stachniss
Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations. CoRR (2021)
Kai-Chieh Hsu, Vicenç Rúbies Royo, Claire J. Tomlin, Jaime F. Fisac
Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning. Robotics: Science and Systems (2021)
Lasse Peters, David Fridovich-Keil, Vicenç Rúbies Royo, Claire J. Tomlin, Cyrill Stachniss
Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations. Robotics: Science and Systems (2021)
Vicenç Rúbies Royo, Eric Mazumdar, Roy Dong, Claire J. Tomlin, S. Shankar Sastry
Expert Selection in High-Dimensional Markov Decision Processes. CoRR (2020)
Vicenç Rúbies Royo, Eric Mazumdar, Roy Dong, Claire J. Tomlin, S. Shankar Sastry
Expert Selection in High-Dimensional Markov Decision Processes. CDC (2020)
David Fridovich-Keil, Vicenç Rúbies Royo, Claire J. Tomlin
An Iterative Quadratic Method for General-Sum Differential Games with Feedback Linearizable Dynamics. ICRA (2020)
Vicenç Rúbies Royo, David Fridovich-Keil, Sylvia L. Herbert, Claire J. Tomlin
A Classification-based Approach for Approximate Reachability. ICRA (2019)
Jaime F. Fisac, Neil F. Lugovoy, Vicenç Rúbies Royo, Shromona Ghosh, Claire J. Tomlin
Bridging Hamilton-Jacobi Safety Analysis and Reinforcement Learning. ICRA (2019)
David Fridovich-Keil, Vicenç Rúbies Royo, Claire J. Tomlin
An Iterative Quadratic Method for General-Sum Differential Games with Feedback Linearizable Dynamics. CoRR (2019)
Vicenç Rúbies Royo, Roberto Calandra, Dusan M. Stipanovic, Claire J. Tomlin
Fast Neural Network Verification via Shadow Prices. CoRR (2019)
Dusan M. Stipanovic, Boris Murmann, Matteo Causo, Aleksandra Lekic, Vicenç Rúbies Royo, Claire J. Tomlin, Edith Beigné, Sébastien Thuries, Mykhailo Zarudniev, Suzanne Lesecq
Some Local Stability Properties of an Autonomous Long Short-Term Memory Neural Network Model. ISCAS (2018)
Vicenç Rúbies Royo, David Fridovich-Keil, Sylvia L. Herbert, Claire J. Tomlin
Classification-based Approximate Reachability with Guarantees Applied to Safe Trajectory Tracking. CoRR (2018)
Dexter R. R. Scobee, Vicenç Rúbies Royo, Claire J. Tomlin, S. Shankar Sastry
Haptic Assistance via Inverse Reinforcement Learning. SMC (2018)
Eric Mazumdar, Roy Dong, Vicenç Rúbies Royo, Claire J. Tomlin, S. Shankar Sastry
A Multi-Armed Bandit Approach for Online Expert Selection in Markov Decision Processes. CoRR (2017)
Vicenç Rúbies Royo
Recursive Regression with Neural Networks: Approximating the HJI PDE Solution. CoRR (2016)