Cortes, Jorge

8 publications

L4DC 2025 Anytime Safe Reinforcement Learning Pol Mestres, Arnau Marzabal, Jorge Cortes

L4DC 2025 Back to Base: Towards Hands-Off Learning via Safe Resets with Reach-Avoid Safety Filters Azra Begzadic, Nikhil Shinde, Sander Tonkens, Dylan Hirsch, Kaleb Ugalde, Michael Yip, Jorge Cortes, Sylvia Herbert

NeurIPS 2025 Certifying Stability of Reinforcement Learning Policies Using Generalized Lyapunov Functions Kehan Long, Jorge Cortes, Nikolay Atanasov

CoRL 2025 From Space to Time: Enabling Adaptive Safety with Learned Value Functions via Disturbance Recasting Sander Tonkens, Nikhil Uday Shinde, Azra Begzadić, Michael C. Yip, Jorge Cortes, Sylvia Lee Herbert

L4DC 2023 Distributionally Robust Lyapunov Function Search Under Uncertainty Kehan Long, Yinzhuang Yi, Jorge Cortes, Nikolay Atanasov

L4DC 2023 Equilibria of Fully Decentralized Learning in Networked Systems Yan Jiang, Wenqi Cui, Baosen Zhang, Jorge Cortes

L4DC 2020 Data-Driven Distributed Predictive Control via Network Optimization Ahmed Allibhoy, Jorge Cortes

NeurIPS 2019 Convergence-Rate-Matching Discretization of Accelerated Optimization Flows Through Opportunistic State-Triggered Control Miguel Vaquero, Jorge Cortes