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Learning-based Model Predictive Control for Safe Exploration

Learning-based Model Predictive Control for Safe Exploration

22 March 2018
Torsten Koller
Felix Berkenkamp
M. Turchetta
Andreas Krause
ArXivPDFHTML

Papers citing "Learning-based Model Predictive Control for Safe Exploration"

28 / 78 papers shown
Title
Active Model Learning using Informative Trajectories for Improved
  Closed-Loop Control on Real Robots
Active Model Learning using Informative Trajectories for Improved Closed-Loop Control on Real Robots
Weixuan Zhang
M. Tognon
Lionel Ott
Roland Siegwart
Juan I. Nieto
24
7
0
20 Jan 2021
Context-Aware Safe Reinforcement Learning for Non-Stationary
  Environments
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments
Baiming Chen
Zuxin Liu
Jiacheng Zhu
Mengdi Xu
Wenhao Ding
Ding Zhao
25
35
0
02 Jan 2021
Learning for MPC with Stability & Safety Guarantees
Learning for MPC with Stability & Safety Guarantees
S. Gros
Mario Zanon
37
30
0
14 Dec 2020
Safely Learning Dynamical Systems from Short Trajectories
Safely Learning Dynamical Systems from Short Trajectories
Amir Ali Ahmadi
A. Chaudhry
Vikas Sindhwani
Stephen Tu
21
4
0
24 Nov 2020
Gaussian Processes Model-based Control of Underactuated Balance Robots
Gaussian Processes Model-based Control of Underactuated Balance Robots
Kuo Chen
J. Yi
Dezhen Song
18
19
0
29 Oct 2020
Planning with Learned Dynamics: Probabilistic Guarantees on Safety and
  Reachability via Lipschitz Constants
Planning with Learned Dynamics: Probabilistic Guarantees on Safety and Reachability via Lipschitz Constants
Craig Knuth
Glen Chou
N. Ozay
Dmitry Berenson
30
33
0
18 Oct 2020
Constrained Markov Decision Processes via Backward Value Functions
Constrained Markov Decision Processes via Backward Value Functions
Harsh Satija
P. Amortila
Joelle Pineau
30
51
0
26 Aug 2020
Sampling-based Reachability Analysis: A Random Set Theory Approach with
  Adversarial Sampling
Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling
T. Lew
Marco Pavone
AAML
30
53
0
24 Aug 2020
Deterministic error bounds for kernel-based learning techniques under
  bounded noise
Deterministic error bounds for kernel-based learning techniques under bounded noise
E. Maddalena
Paul Scharnhorst
Colin N. Jones
25
45
0
10 Aug 2020
SafePILCO: a software tool for safe and data-efficient policy synthesis
SafePILCO: a software tool for safe and data-efficient policy synthesis
Kyriakos Polymenakos
Nikitas Rontsis
Alessandro Abate
Stephen J. Roberts
16
6
0
07 Aug 2020
Anticipating the Long-Term Effect of Online Learning in Control
Anticipating the Long-Term Effect of Online Learning in Control
A. Capone
Sandra Hirche
19
4
0
24 Jul 2020
Safe Reinforcement Learning via Curriculum Induction
Safe Reinforcement Learning via Curriculum Induction
M. Turchetta
Andrey Kolobov
S. Shah
Andreas Krause
Alekh Agarwal
23
91
0
22 Jun 2020
ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers
ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers
James Ferlez
Mahmoud M. Elnaggar
Yasser Shoukry
C. Fleming
AAML
62
33
0
16 Jun 2020
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
23
44
0
12 Jun 2020
How Training Data Impacts Performance in Learning-based Control
How Training Data Impacts Performance in Learning-based Control
Armin Lederer
A. Capone
Jonas Umlauft
Sandra Hirche
12
17
0
25 May 2020
Chance-Constrained Trajectory Optimization for Safe Exploration and
  Learning of Nonlinear Systems
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems
Yashwanth Kumar Nakka
Anqi Liu
Guanya Shi
Anima Anandkumar
Yisong Yue
Soon-Jo Chung
30
49
0
09 May 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
22
87
0
11 Apr 2020
Control of Unknown Nonlinear Systems with Linear Time-Varying MPC
Control of Unknown Nonlinear Systems with Linear Time-Varying MPC
D. Papadimitriou
Ugo Rosolia
Francesco Borrelli
14
9
0
06 Apr 2020
Exploration-Exploitation in Constrained MDPs
Exploration-Exploitation in Constrained MDPs
Yonathan Efroni
Shie Mannor
Matteo Pirotta
33
169
0
04 Mar 2020
Deep Learning Tubes for Tube MPC
Deep Learning Tubes for Tube MPC
David D. Fan
Ali-akbar Agha-mohammadi
Evangelos A. Theodorou
30
57
0
05 Feb 2020
Constrained Upper Confidence Reinforcement Learning
Constrained Upper Confidence Reinforcement Learning
Liyuan Zheng
Lillian J. Ratliff
28
67
0
26 Jan 2020
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
36
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
21
237
0
20 Dec 2019
Safe Linear Thompson Sampling with Side Information
Safe Linear Thompson Sampling with Side Information
Ahmadreza Moradipari
Sanae Amani
M. Alizadeh
Christos Thrampoulidis
27
42
0
06 Nov 2019
Stochastic data-driven model predictive control using Gaussian processes
Stochastic data-driven model predictive control using Gaussian processes
E. Bradford
Lars Imsland
Dongda Zhang
Ehecatl Antonio del Rio Chanona
14
93
0
05 Aug 2019
End-to-End Safe Reinforcement Learning through Barrier Functions for
  Safety-Critical Continuous Control Tasks
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks
Richard Cheng
G. Orosz
R. Murray
J. W. Burdick
17
606
0
21 Mar 2019
A predictive safety filter for learning-based control of constrained
  nonlinear dynamical systems
A predictive safety filter for learning-based control of constrained nonlinear dynamical systems
K. P. Wabersich
Melanie Zeilinger
AI4CE
26
155
0
13 Dec 2018
Safely Learning to Control the Constrained Linear Quadratic Regulator
Safely Learning to Control the Constrained Linear Quadratic Regulator
Sarah Dean
Stephen Tu
Nikolai Matni
Benjamin Recht
13
138
0
26 Sep 2018
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