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Safe Reinforcement Learning with Chance-constrained Model Predictive Control

Safe Reinforcement Learning with Chance-constrained Model Predictive Control

Samuel Pfrommer
Tanmay Gautam
Alec Zhou
Somayeh Sojoudi
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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
A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction
Leander Kurscheidt
Paolo Morettin
Roberto Sebastiani
Andrea Passerini
Antonio Vergari
62
0
0
25 Mar 2025
Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification
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
92
5
0
04 Feb 2025
Safety Filtering While Training: Improving the Performance and Sample Efficiency of Reinforcement Learning Agents
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
Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning
Jonas Günster
Puze Liu
Jan Peters
Davide Tateo
OffRL
36
2
0
18 Sep 2024
Generalizable Physics-Informed Learning for Stochastic Safety-Critical Systems
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
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
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
Conformal Predictive Programming for Chance Constrained Optimization
Yiqi Zhao
Xinyi Yu
Matteo Sesia
Lars Lindemann
Lars Lindemann
47
3
0
12 Feb 2024
A Survey of Constraint Formulations in Safe Reinforcement Learning
A Survey of Constraint Formulations in Safe Reinforcement Learning
Akifumi Wachi
Xun Shen
Yanan Sui
43
11
0
03 Feb 2024
Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms
Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms
Akifumi Wachi
Wataru Hashimoto
Xun Shen
Kazumune Hashimoto
27
9
0
05 Oct 2023
Tempo Adaptation in Non-stationary Reinforcement Learning
Tempo Adaptation in Non-stationary Reinforcement Learning
Hyunin Lee
Yuhao Ding
Jongmin Lee
Ming Jin
Javad Lavaei
Somayeh Sojoudi
22
3
0
26 Sep 2023
Initial State Interventions for Deconfounded Imitation Learning
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
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
Targeted Adversarial Attacks against Neural Network Trajectory Predictors
Kai Liang Tan
Jun Wang
Y. Kantaros
AAML
38
14
0
08 Dec 2022
Finding Safe Zones of policies Markov Decision Processes
Finding Safe Zones of policies Markov Decision Processes
Lee Cohen
Yishay Mansour
Michal Moshkovitz
27
1
0
23 Feb 2022