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ORCIDVicenc Rubies-Royo
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2020 – today
- 2024
[j2]Anayo K. Akametalu
, Shromona Ghosh, Jaime F. Fisac, Vicenc Rubies-Royo, Claire J. Tomlin:
A Minimum Discounted Reward Hamilton-Jacobi Formulation for Computing Reachable Sets. IEEE Trans. Autom. Control. 69(2): 1097-1103 (2024)- 2023
- [j1]Lasse Peters, Vicenc Rubies-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): 917-937 (2023) - [i9]Lasse Peters, Vicenc Rubies-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 abs/2302.01999 (2023) - 2021
- [c8]Kai-Chieh Hsu, Vicenc Rubies-Royo, Claire J. Tomlin, Jaime F. Fisac:
Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning. Robotics: Science and Systems 2021 - [c7]Lasse Peters, David Fridovich-Keil, Vicenc Rubies-Royo, Claire J. Tomlin, Cyrill Stachniss:
Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations. Robotics: Science and Systems 2021 - [i8]Lasse Peters, David Fridovich-Keil, Vicenc Rubies-Royo, Claire J. Tomlin, Cyrill Stachniss:
Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations. CoRR abs/2106.03611 (2021) - [i7]Kai-Chieh Hsu, Vicenc Rubies-Royo, Claire J. Tomlin, Jaime F. Fisac:
Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning. CoRR abs/2112.12288 (2021) - 2020
- [b1]Vicenc Rubies-Royo:
Assured Autonomy for Safety-Critical and Learning-Enabled Systems. University of California, Berkeley, USA, 2020 - [c6]Vicenc Rubies-Royo, Eric Mazumdar, Roy Dong, Claire J. Tomlin, S. Shankar Sastry:
Expert Selection in High-Dimensional Markov Decision Processes. CDC 2020: 3604-3610 - [c5]David Fridovich-Keil, Vicenc Rubies-Royo, Claire J. Tomlin:
An Iterative Quadratic Method for General-Sum Differential Games with Feedback Linearizable Dynamics. ICRA 2020: 2216-2222 - [i6]Vicenc Rubies-Royo, Eric Mazumdar, Roy Dong, Claire J. Tomlin, S. Shankar Sastry:
Expert Selection in High-Dimensional Markov Decision Processes. CoRR abs/2010.15599 (2020)
2010 – 2019
- 2019
- [c4]Vicenc Rubies-Royo, David Fridovich-Keil, Sylvia L. Herbert, Claire J. Tomlin:
A Classification-based Approach for Approximate Reachability. ICRA 2019: 7697-7704 - [c3]Jaime F. Fisac, Neil F. Lugovoy, Vicenc Rubies-Royo, Shromona Ghosh, Claire J. Tomlin:
Bridging Hamilton-Jacobi Safety Analysis and Reinforcement Learning. ICRA 2019: 8550-8556 - [i5]Vicenc Rubies-Royo, Roberto Calandra, Dusan M. Stipanovic, Claire J. Tomlin:
Fast Neural Network Verification via Shadow Prices. CoRR abs/1902.07247 (2019) - [i4]David Fridovich-Keil, Vicenc Rubies-Royo, Claire J. Tomlin:
An Iterative Quadratic Method for General-Sum Differential Games with Feedback Linearizable Dynamics. CoRR abs/1910.00681 (2019) - 2018
- [c2]Dusan M. Stipanovic, Boris Murmann, Matteo Causo, Aleksandra Lekic, Vicenc Rubies-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: 1-5 - [c1]Dexter R. R. Scobee, Vicenc Rubies-Royo, Claire J. Tomlin, S. Shankar Sastry:
Haptic Assistance via Inverse Reinforcement Learning. SMC 2018: 1510-1517 - [i3]Vicenc Rubies-Royo, David Fridovich-Keil, Sylvia L. Herbert, Claire J. Tomlin:
Classification-based Approximate Reachability with Guarantees Applied to Safe Trajectory Tracking. CoRR abs/1803.03237 (2018) - 2017
- [i2]Eric Mazumdar, Roy Dong, Vicenc Rubies-Royo, Claire J. Tomlin, S. Shankar Sastry:
A Multi-Armed Bandit Approach for Online Expert Selection in Markov Decision Processes. CoRR abs/1707.05714 (2017) - 2016
- [i1]Vicenc Rubies-Royo:
Recursive Regression with Neural Networks: Approximating the HJI PDE Solution. CoRR abs/1611.02739 (2016)
Coauthor Index
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