Recursive Regression with Neural Networks: Approximating the HJI PDE Solution. - Vicenc Rubies-Royo (CoRR, 2016)

A Multi-Armed Bandit Approach for Online Expert Selection in Markov Decision Processes. - Eric Mazumdar; Roy Dong; Vicenc Rubies-Royo; Claire J. Tomlin; S. Shankar Sastry (CoRR, 2017)

Some Local Stability Properties of an Autonomous Long Short-Term Memory Neural Network Model. - Dusan M. Stipanovic; Boris Murmann; Matteo Causo; Aleksandra Lekic; Vicenc Rubies-Royo; Claire J. Tomlin; Edith Beigné; Sébastien Thuries; Mykhailo Zarudniev; Suzanne Lesecq (ISCAS, 2018)

Haptic Assistance via Inverse Reinforcement Learning. - Dexter R. R. Scobee; Vicenc Rubies-Royo; Claire J. Tomlin; S. Shankar Sastry (SMC, 2018)

Classification-based Approximate Reachability with Guarantees Applied to Safe Trajectory Tracking. - Vicenc Rubies-Royo; David Fridovich-Keil; Sylvia L. Herbert; Claire J. Tomlin (CoRR, 2018)

Bridging Hamilton-Jacobi Safety Analysis and Reinforcement Learning. - Jaime F. Fisac; Neil F. Lugovoy; Vicenc Rubies-Royo; Shromona Ghosh; Claire J. Tomlin (ICRA, 2019)

A Classification-based Approach for Approximate Reachability. - Vicenc Rubies-Royo; David Fridovich-Keil; Sylvia L. Herbert; Claire J. Tomlin (ICRA, 2019)

Fast Neural Network Verification via Shadow Prices. - Vicenc Rubies-Royo; Roberto Calandra; Dusan M. Stipanovic; Claire J. Tomlin (CoRR, 2019)

Expert Selection in High-Dimensional Markov Decision Processes. - Vicenc Rubies-Royo; Eric Mazumdar; Roy Dong; Claire J. Tomlin; S. Shankar Sastry (CDC, 2020)

An Iterative Quadratic Method for General-Sum Differential Games with Feedback Linearizable Dynamics. - David Fridovich-Keil; Vicenc Rubies-Royo; Claire J. Tomlin (ICRA, 2020)

Assured Autonomy for Safety-Critical and Learning-Enabled Systems - Vicenc Rubies-Royo (2020)

Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning. - Kai-Chieh Hsu; Vicenc Rubies-Royo; Claire J. Tomlin; Jaime F. Fisac (Robotics: Science and Systems, 2021)

Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations. - Lasse Peters; David Fridovich-Keil; Vicenc Rubies-Royo; Claire J. Tomlin; Cyrill Stachniss (Robotics: Science and Systems, 2021)

Learning Players' Objectives in Continuous Dynamic Games from Partial State Observations. - Lasse Peters; Vicenc Rubies-Royo; Claire J. Tomlin; Laura Ferranti; Javier Alonso-Mora; Cyrill Stachniss; David Fridovich-Keil (CoRR, 2023)

Online and offline learning of player objectives from partial observations in dynamic games. - Lasse Peters; Vicenc Rubies-Royo; Claire J. Tomlin; Laura Ferranti; Javier Alonso-Mora; Cyrill Stachniss; David Fridovich-Keil (Int. J. Robotics Res., 2023)

A Minimum Discounted Reward Hamilton-Jacobi Formulation for Computing Reachable Sets. - Anayo K. Akametalu; Shromona Ghosh; Jaime F. Fisac; Vicenc Rubies-Royo; Claire J. Tomlin (IEEE Trans. Autom. Control., 2024)