Safe Reinforcement Learning with Chance-constrained Model Predictive
Control

Safe Reinforcement Learning with Chance-constrained Model Predictive Control

27 December 2021

Samuel Pfrommer

Somayeh Sojoudi

Papers citing "Safe Reinforcement Learning with Chance-constrained Model Predictive Control"

15 / 15 papers shown

Title
A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction Leander Kurscheidt Paolo Morettin Roberto Sebastiani Andrea Passerini Antonio Vergari 57 0 0 25 Mar 2025
Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Rudolf Reiter Jasper Hoffmann D. Reinhardt Florian Messerer Katrin Baumgärtner Shamburaj Sawant Joschka Boedecker Moritz Diehl S. Gros 89 5 0 04 Feb 2025
Safety Filtering While Training: Improving the Performance and Sample Efficiency of Reinforcement Learning Agents Federico Pizarro Bejarano Lukas Brunke Angela P. Schoellig 35 2 0 15 Oct 2024
Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning Jonas Günster Puze Liu Jan Peters Davide Tateo OffRL 33 2 0 18 Sep 2024
Generalizable Physics-Informed Learning for Stochastic Safety-Critical Systems Zhuoyuan Wang Albert Chern Yorie Nakahira 33 0 0 11 Jul 2024
Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications Puze Liu Haitham Bou-Ammar Jan Peters Davide Tateo 49 8 0 13 Apr 2024
DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning Xuefeng Wang Henglin Pu Hyung Jun Kim Husheng Li 35 2 0 11 Mar 2024
Conformal Predictive Programming for Chance Constrained Optimization Yiqi Zhao Xinyi Yu Matteo Sesia Lars Lindemann Lars Lindemann 42 3 0 12 Feb 2024
A Survey of Constraint Formulations in Safe Reinforcement Learning Akifumi Wachi Xun Shen Yanan Sui 38 11 0 03 Feb 2024
Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms Akifumi Wachi Wataru Hashimoto Xun Shen Kazumune Hashimoto 22 9 0 05 Oct 2023
Tempo Adaptation in Non-stationary Reinforcement Learning Hyunin Lee Yuhao Ding Jongmin Lee Ming Jin Javad Lavaei Somayeh Sojoudi 17 3 0 26 Sep 2023
Initial State Interventions for Deconfounded Imitation Learning Samuel Pfrommer Yatong Bai Hyunin Lee Somayeh Sojoudi CML 35 2 0 29 Jul 2023
A Generalizable Physics-informed Learning Framework for Risk Probability Estimation Zhuoyuan Wang Yorie Nakahira OOD 16 5 0 10 May 2023
Targeted Adversarial Attacks against Neural Network Trajectory Predictors Kai Liang Tan Jun Wang Y. Kantaros AAML 35 14 0 08 Dec 2022
Finding Safe Zones of policies Markov Decision Processes Lee Cohen Yishay Mansour Michal Moshkovitz 27 1 0 23 Feb 2022