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Safe Model-based Reinforcement Learning with Stability Guarantees
v1v2v3 (latest)

Safe Model-based Reinforcement Learning with Stability Guarantees

23 May 2017
Felix Berkenkamp
M. Turchetta
Angela P. Schoellig
Andreas Krause
ArXiv (abs)PDFHTML

Papers citing "Safe Model-based Reinforcement Learning with Stability Guarantees"

50 / 471 papers shown
Title
SAMBA: Safe Model-Based & Active Reinforcement Learning
SAMBA: Safe Model-Based & Active Reinforcement Learning
Alexander I. Cowen-Rivers
Daniel Palenicek
Vincent Moens
Mohammed Abdullah
Aivar Sootla
Jun Wang
Haitham Bou-Ammar
99
45
0
12 Jun 2020
Avoiding Side Effects in Complex Environments
Avoiding Side Effects in Complex EnvironmentsNeural Information Processing Systems (NeurIPS), 2025
Alexander Matt Turner
Neale Ratzlaff
Prasad Tadepalli
182
35
0
11 Jun 2020
Learning to Satisfy Unknown Constraints in Iterative MPC
Learning to Satisfy Unknown Constraints in Iterative MPCIEEE Conference on Decision and Control (CDC), 2024
Monimoy Bujarbaruah
Charlott Vallon
Francesco Borrelli
160
8
0
09 Jun 2020
Learning for Dose Allocation in Adaptive Clinical Trials with Safety
  Constraints
Learning for Dose Allocation in Adaptive Clinical Trials with Safety ConstraintsInternational Conference on Machine Learning (ICML), 2024
Cong Shen
Zhiyang Wang
S. Villar
M. Schaar
79
21
0
09 Jun 2020
In Proximity of ReLU DNN, PWA Function, and Explicit MPC
In Proximity of ReLU DNN, PWA Function, and Explicit MPC
Saman Fahandezh-Saadi
Masayoshi Tomizuka
84
4
0
09 Jun 2020
Stable Reinforcement Learning with Unbounded State Space
Stable Reinforcement Learning with Unbounded State SpaceConference on Learning for Dynamics & Control (L4DC), 2025
Devavrat Shah
Qiaomin Xie
Zhi Xu
OffRL
92
15
0
08 Jun 2020
Neural Lyapunov Redesign
Neural Lyapunov Redesign
Arash Mehrjou
Mohammad Ghavamzadeh
Bernhard Schölkopf
103
1
0
06 Jun 2020
An Ergodic Measure for Active Learning From Equilibrium
An Ergodic Measure for Active Learning From Equilibrium
Ian Abraham
A. Prabhakar
Todd Murphey
162
24
0
05 Jun 2020
Learning Algorithms for Minimizing Queue Length Regret
Learning Algorithms for Minimizing Queue Length Regret
Thomas Stahlbuhk
B. Shrader
E. Modiano
103
2
0
11 May 2020
Regret Bounds for Safe Gaussian Process Bandit Optimization
Regret Bounds for Safe Gaussian Process Bandit OptimizationInternational Symposium on Information Theory (ISIT), 2024
Sanae Amani
M. Alizadeh
Christos Thrampoulidis
117
12
0
05 May 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRLGP
713
2,182
0
04 May 2020
Neural Lyapunov Control
Neural Lyapunov ControlNeural Information Processing Systems (NeurIPS), 2025
Ya-Chien Chang
Nima Roohi
Sicun Gao
200
337
0
01 May 2020
Actor-Critic Reinforcement Learning for Control with Stability Guarantee
Actor-Critic Reinforcement Learning for Control with Stability Guarantee
Minghao Han
Lixian Zhang
Jun Wang
Wei Pan
189
128
0
29 Apr 2020
On Bayesian Search for the Feasible Space Under Computationally
  Expensive Constraints
On Bayesian Search for the Feasible Space Under Computationally Expensive ConstraintsInternational Conference on Machine Learning, Optimization, and Data Science (LOD), 2025
Alma A. M. Rahat
M. Wood
46
3
0
23 Apr 2020
Probabilistic Safety for Bayesian Neural Networks
Probabilistic Safety for Bayesian Neural Networks
Matthew Wicker
Luca Laurenti
A. Patané
Marta Z. Kwiatkowska
AAML
130
52
0
21 Apr 2020
Reinforcement Learning for Safety-Critical Control under Model
  Uncertainty, using Control Lyapunov Functions and Control Barrier Functions
Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions
Jason J. Choi
F. Castañeda
Claire Tomlin
Koushil Sreenath
145
199
0
16 Apr 2020
Safe Multi-Agent Interaction through Robust Control Barrier Functions
  with Learned Uncertainties
Safe Multi-Agent Interaction through Robust Control Barrier Functions with Learned Uncertainties
Richard Cheng
M. J. Khojasteh
Aaron D. Ames
J. W. Burdick
133
92
0
11 Apr 2020
Model-Reference Reinforcement Learning Control of Autonomous Surface
  Vehicles with Uncertainties
Model-Reference Reinforcement Learning Control of Autonomous Surface Vehicles with Uncertainties
Qingrui Zhang
Wei Pan
V. Reppa
82
24
0
30 Mar 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and
  Applications
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications
Wojciech Samek
G. Montavon
Sebastian Lapuschkin
Christopher J. Anders
K. Müller
XAI
207
85
0
17 Mar 2020
Pseudo-Convolutional Policy Gradient for Sequence-to-Sequence
  Lip-Reading
Pseudo-Convolutional Policy Gradient for Sequence-to-Sequence Lip-ReadingIEEE International Conference on Automatic Face & Gesture Recognition (FG), 2025
Mingshuang Luo
Shuang Yang
Shiguang Shan
Xilin Chen
130
42
0
09 Mar 2020
Practical Reinforcement Learning For MPC: Learning from sparse
  objectives in under an hour on a real robot
Practical Reinforcement Learning For MPC: Learning from sparse objectives in under an hour on a real robotConference on Learning for Dynamics & Control (L4DC), 2025
Napat Karnchanachari
M. I. Valls
David Hoeller
Marco Hutter
178
44
0
06 Mar 2020
Exploration-Exploitation in Constrained MDPs
Exploration-Exploitation in Constrained MDPs
Yonathan Efroni
Shie Mannor
Matteo Pirotta
175
192
0
04 Mar 2020
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization
Dongsheng Ding
Xiaohan Wei
Zhuoran Yang
Zhaoran Wang
M. Jovanović
163
172
0
01 Mar 2020
Safe reinforcement learning for probabilistic reachability and safety
  specifications: A Lyapunov-based approach
Safe reinforcement learning for probabilistic reachability and safety specifications: A Lyapunov-based approach
Subin Huh
Insoon Yang
126
22
0
24 Feb 2020
Neural Lyapunov Model Predictive Control: Learning Safe Global
  Controllers from Sub-optimal Examples
Neural Lyapunov Model Predictive Control: Learning Safe Global Controllers from Sub-optimal Examples
Mayank Mittal
Marco Gallieri
A. Quaglino
Seyed Sina Mirrazavi Salehian
Jan Koutník
91
12
0
21 Feb 2020
Learning to Walk in the Real World with Minimal Human Effort
Learning to Walk in the Real World with Minimal Human Effort
Sehoon Ha
P. Xu
Zhenyu Tan
Sergey Levine
Jie Tan
163
188
0
20 Feb 2020
Conservative Exploration in Reinforcement Learning
Conservative Exploration in Reinforcement LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Evrard Garcelon
Mohammad Ghavamzadeh
A. Lazaric
Matteo Pirotta
138
28
0
08 Feb 2020
Safe Wasserstein Constrained Deep Q-Learning
Safe Wasserstein Constrained Deep Q-Learning
Aaron Kandel
S. Moura
OODOffRL
126
9
0
07 Feb 2020
Representation of Reinforcement Learning Policies in Reproducing Kernel
  Hilbert Spaces
Representation of Reinforcement Learning Policies in Reproducing Kernel Hilbert Spaces
Bogdan Mazoure
T. Doan
Tianyu Li
V. Makarenkov
Joelle Pineau
Doina Precup
Guillaume Rabusseau
OffRL
113
1
0
07 Feb 2020
Deep Learning Tubes for Tube MPC
Deep Learning Tubes for Tube MPC
David D. Fan
Ali-akbar Agha-mohammadi
Evangelos A. Theodorou
161
61
0
05 Feb 2020
Constrained Upper Confidence Reinforcement Learning
Constrained Upper Confidence Reinforcement Learning
Liyuan Zheng
Lillian J. Ratliff
129
71
0
26 Jan 2020
FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using
  Human Feedback
FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback
Baicen Xiao
Qifan Lu
Bhaskar Ramasubramanian
Andrew Clark
L. Bushnell
Radha Poovendran
118
26
0
19 Jan 2020
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction
Sangdon Park
Osbert Bastani
Nikolai Matni
Insup Lee
UQCV
359
72
0
31 Dec 2019
Probabilistic Safety Constraints for Learned High Relative Degree System
  Dynamics
Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics
M. J. Khojasteh
Vikas Dhiman
M. Franceschetti
Nikolay Atanasov
219
73
0
20 Dec 2019
Learning for Safety-Critical Control with Control Barrier Functions
Learning for Safety-Critical Control with Control Barrier Functions
Andrew J. Taylor
Andrew W. Singletary
Yisong Yue
Aaron D. Ames
171
256
0
20 Dec 2019
Control-Tutored Reinforcement Learning
Control-Tutored Reinforcement Learning
F. D. Lellis
Fabrizia Auletta
G. Russo
P. D. Lellis
M. D. Bernardo
100
3
0
12 Dec 2019
Safe Interactive Model-Based Learning
Safe Interactive Model-Based Learning
Marco Gallieri
Seyed Sina Mirrazavi Salehian
N. E. Toklu
A. Quaglino
Jonathan Masci
Jan Koutník
Faustino J. Gomez
150
12
0
15 Nov 2019
Driving Reinforcement Learning with Models
Driving Reinforcement Learning with Models
Meghana Rathi
P. Ferraro
G. Russo
157
10
0
11 Nov 2019
Online learning-based Model Predictive Control with Gaussian Process
  Models and Stability Guarantees
Online learning-based Model Predictive Control with Gaussian Process Models and Stability Guarantees
Michael Maiworm
D. Limón
R. Findeisen
130
2
0
08 Nov 2019
Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning
Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning
Matthew Benatan
Edward O. Pyzer-Knapp
BDL
90
6
0
08 Nov 2019
Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy
Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy
Ramtin Keramati
Christoph Dann
Alex Tamkin
Emma Brunskill
159
81
0
05 Nov 2019
On Online Learning in Kernelized Markov Decision Processes
On Online Learning in Kernelized Markov Decision Processes
Sayak Ray Chowdhury
Aditya Gopalan
OffRL
117
49
0
04 Nov 2019
Safe Exploration for Interactive Machine Learning
Safe Exploration for Interactive Machine Learning
M. Turchetta
Felix Berkenkamp
Andreas Krause
126
91
0
30 Oct 2019
Certified Adversarial Robustness for Deep Reinforcement Learning
Certified Adversarial Robustness for Deep Reinforcement Learning
Björn Lütjens
Michael Everett
Jonathan P. How
AAML
169
102
0
28 Oct 2019
Convergent Policy Optimization for Safe Reinforcement Learning
Convergent Policy Optimization for Safe Reinforcement Learning
Ming Yu
Zhuoran Yang
Mladen Kolar
Zhaoran Wang
135
99
0
26 Oct 2019
MAMPS: Safe Multi-Agent Reinforcement Learning via Model Predictive
  Shielding
MAMPS: Safe Multi-Agent Reinforcement Learning via Model Predictive Shielding
Wenbo Zhang
Osbert Bastani
Vijay Kumar
114
42
0
25 Oct 2019
Robust Model Predictive Shielding for Safe Reinforcement Learning with
  Stochastic Dynamics
Robust Model Predictive Shielding for Safe Reinforcement Learning with Stochastic Dynamics
Shuo Li
Osbert Bastani
123
91
0
24 Oct 2019
Policy Optimization for $\mathcal{H}_2$ Linear Control with
  $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global
  Convergence
Policy Optimization for H2\mathcal{H}_2H2​ Linear Control with H∞\mathcal{H}_\inftyH∞​ Robustness Guarantee: Implicit Regularization and Global Convergence
Jianchao Tan
Bin Hu
Tamer Basar
148
125
0
21 Oct 2019
Bayesian Learning-Based Adaptive Control for Safety Critical Systems
Bayesian Learning-Based Adaptive Control for Safety Critical Systems
David D. Fan
Jennifer Nguyen
Rohan Thakker
Nikhilesh Alatur
Ali-akbar Agha-mohammadi
Evangelos A. Theodorou
BDL
178
88
0
05 Oct 2019
ACES -- Automatic Configuration of Energy Harvesting Sensors with
  Reinforcement Learning
ACES -- Automatic Configuration of Energy Harvesting Sensors with Reinforcement Learning
Francesco Fraternali
Bharathan Balaji
Yuvraj Agarwal
Rajesh K. Gupta
42
47
0
04 Sep 2019
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