Probabilistic Constraint for Safety-Critical Reinforcement Learning

29 June 2023

Papers citing "Probabilistic Constraint for Safety-Critical Reinforcement Learning"

9 / 9 papers shown

Title
The Lagrangian Method for Solving Constrained Markov Games Soham Das Santiago Paternain Luiz F. O. Chamon Ceyhun Eksin 45 0 0 13 Mar 2025
Transfer Learning for a Class of Cascade Dynamical Systems Shima Rabiei Sandipan Mishra Santiago Paternain 13 0 0 09 Oct 2024
Domain Adaptation for Offline Reinforcement Learning with Limited Samples Weiqin Chen Sandipan Mishra Santiago Paternain OffRL 36 2 0 22 Aug 2024
A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms Weiqin Chen M. Squillante Chai Wah Wu Santiago Paternain AI4CE 27 0 0 20 Jun 2024
Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications Puze Liu Haitham Bou-Ammar Jan Peters Davide Tateo 30 8 0 13 Apr 2024
Adaptive Primal-Dual Method for Safe Reinforcement Learning Weiqin Chen James Onyejizu Long Vu Lan Hoang D. Subramanian Koushik Kar Sandipan Mishra Santiago Paternain 11 1 0 01 Feb 2024
Learning safety critics via a non-contractive binary bellman operator Agustin Castellano Hancheng Min J. Bazerque Enrique Mallada 42 0 0 23 Jan 2024
Absolute Policy Optimization Weiye Zhao Feihan Li Yifan Sun Rui Chen Tianhao Wei Changliu Liu 18 4 0 20 Oct 2023
Forking Uncertainties: Reliable Prediction and Model Predictive Control with Sequence Models via Conformal Risk Control Matteo Zecchin Sangwoo Park Osvaldo Simeone 26 15 0 16 Oct 2023