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2210.05989
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Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty
12 October 2022
Thom S. Badings
Licio Romao
Alessandro Abate
N. Jansen
Re-assign community
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Papers citing
"Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty"
14 / 14 papers shown
Title
Learning Control Policies for Stochastic Systems with Reach-avoid Guarantees
Dorde Zikelic
Mathias Lechner
T. Henzinger
K. Chatterjee
67
26
0
11 Oct 2022
Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning
Bertrand Charpentier
Ransalu Senanayake
Mykel Kochenderfer
Stephan Günnemann
PER
UD
80
26
0
03 Jun 2022
Data-driven Abstractions with Probabilistic Guarantees for Linear PETC Systems
Andrea Peruffo
M. Mazo
55
13
0
10 Mar 2022
Sampling-Based Robust Control of Autonomous Systems with Non-Gaussian Noise
Heinke Hihn
Alessandro Abate
Nils Jansen
David Parker
Hasan A. Poonawala
Marielle Stoelinga
54
27
0
25 Oct 2021
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning
Lukas Brunke
Melissa Greeff
Adam W. Hall
Zhaocong Yuan
Siqi Zhou
Jacopo Panerati
Angela P. Schoellig
OffRL
63
630
0
13 Aug 2021
Model Error Propagation via Learned Contraction Metrics for Safe Feedback Motion Planning of Unknown Systems
Glen Chou
N. Ozay
Dmitry Berenson
93
25
0
18 Apr 2021
Planning with Learned Dynamics: Probabilistic Guarantees on Safety and Reachability via Lipschitz Constants
Craig Knuth
Glen Chou
N. Ozay
Dmitry Berenson
70
34
0
18 Oct 2020
Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs
M. Pereira
Ziyi Wang
Ioannis Exarchos
Evangelos A. Theodorou
53
37
0
02 Sep 2020
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods
Eyke Hüllermeier
Willem Waegeman
PER
UD
249
1,427
0
21 Oct 2019
A General Framework for Uncertainty Estimation in Deep Learning
Antonio Loquercio
Mattia Segu
Davide Scaramuzza
UQCV
BDL
OOD
68
293
0
16 Jul 2019
Finite Sample Analysis of Stochastic System Identification
Anastasios Tsiamis
George J. Pappas
48
150
0
21 Mar 2019
Safe Model-based Reinforcement Learning with Stability Guarantees
Felix Berkenkamp
M. Turchetta
Angela P. Schoellig
Andreas Krause
191
853
0
23 May 2017
Funnel Libraries for Real-Time Robust Feedback Motion Planning
Anirudha Majumdar
Russ Tedrake
77
368
0
15 Jan 2016
Risk-Sensitive Reinforcement Learning Applied to Control under Constraints
Peter Geibel
F. Wysotzki
84
319
0
09 Sep 2011
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