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Goal-Driven Dynamics Learning via Bayesian Optimization

Goal-Driven Dynamics Learning via Bayesian Optimization

27 March 2017
Somil Bansal
Roberto Calandra
Ted Xiao
Sergey Levine
Claire Tomlin
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Papers citing "Goal-Driven Dynamics Learning via Bayesian Optimization"

25 / 25 papers shown
Title
AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator
AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator
Elysia Q. Smyers
Sydney M. Katz
Anthony Corso
Mykel J. Kochenderfer
AAML
34
4
0
19 Jun 2023
Active Mass Distribution Estimation from Tactile Feedback
Active Mass Distribution Estimation from Tactile Feedback
Jiacheng Yuan
Changhyun Choi
E. Tadmor
Volkan Isler
10
1
0
02 Mar 2023
Incorporating Recurrent Reinforcement Learning into Model Predictive
  Control for Adaptive Control in Autonomous Driving
Incorporating Recurrent Reinforcement Learning into Model Predictive Control for Adaptive Control in Autonomous Driving
Yehui Zhang
Joschka Boedecker
Chuxuan Li
Guyue Zhou
17
0
0
30 Jan 2023
Violation-Aware Contextual Bayesian Optimization for Controller
  Performance Optimization with Unmodeled Constraints
Violation-Aware Contextual Bayesian Optimization for Controller Performance Optimization with Unmodeled Constraints
Wenjie Xu
Colin N. Jones
B. Svetozarevic
C. Laughman
Ankush Chakrabarty
37
9
0
28 Jan 2023
CONFIG: Constrained Efficient Global Optimization for Closed-Loop
  Control System Optimization with Unmodeled Constraints
CONFIG: Constrained Efficient Global Optimization for Closed-Loop Control System Optimization with Unmodeled Constraints
Wenjie Xu
Yuning Jiang
B. Svetozarevic
Colin N. Jones
32
7
0
21 Nov 2022
Policy Learning for Nonlinear Model Predictive Control with Application
  to USVs
Policy Learning for Nonlinear Model Predictive Control with Application to USVs
Rizhong Wang
Huiping Li
Bin Liang
Yang Shi
Deming Xu
27
20
0
18 Nov 2022
Optimizing Closed-Loop Performance with Data from Similar Systems: A
  Bayesian Meta-Learning Approach
Optimizing Closed-Loop Performance with Data from Similar Systems: A Bayesian Meta-Learning Approach
Ankush Chakrabarty
31
9
0
31 Oct 2022
Investigating Compounding Prediction Errors in Learned Dynamics Models
Investigating Compounding Prediction Errors in Learned Dynamics Models
Nathan Lambert
K. Pister
Roberto Calandra
AI4CE
22
27
0
17 Mar 2022
Optimization of the Model Predictive Control Meta-Parameters Through
  Reinforcement Learning
Optimization of the Model Predictive Control Meta-Parameters Through Reinforcement Learning
Eivind Bøhn
S. Gros
Signe Moe
T. Johansen
33
19
0
07 Nov 2021
VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control
  Performance Optimization with Unmodeled Constraints
VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints
Wenjie Xu
Colin N. Jones
B. Svetozarevic
C. Laughman
Ankush Chakrabarty
34
25
0
14 Oct 2021
Learning Accurate Long-term Dynamics for Model-based Reinforcement
  Learning
Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning
Nathan Lambert
Albert Wilcox
Howard Zhang
K. Pister
Roberto Calandra
27
33
0
16 Dec 2020
Learning to Slide Unknown Objects with Differentiable Physics
  Simulations
Learning to Slide Unknown Objects with Differentiable Physics Simulations
Changkyu Song
Abdeslam Boularias
35
39
0
11 May 2020
Identifying Mechanical Models through Differentiable Simulations
Identifying Mechanical Models through Differentiable Simulations
Changkyu Song
Abdeslam Boularias
27
12
0
11 May 2020
Bayesian Optimization for Policy Search in High-Dimensional Systems via
  Automatic Domain Selection
Bayesian Optimization for Policy Search in High-Dimensional Systems via Automatic Domain Selection
Lukas P. Frohlich
Edgar D. Klenske
Christian Daniel
Melanie Zeilinger
18
12
0
21 Jan 2020
The Differentiable Cross-Entropy Method
The Differentiable Cross-Entropy Method
Brandon Amos
Denis Yarats
34
54
0
27 Sep 2019
Gradient-Aware Model-based Policy Search
Gradient-Aware Model-based Policy Search
P. DÓro
Alberto Maria Metelli
Andrea Tirinzoni
Matteo Papini
Marcello Restelli
29
34
0
09 Sep 2019
Learning Stabilizable Nonlinear Dynamics with Contraction-Based
  Regularization
Learning Stabilizable Nonlinear Dynamics with Contraction-Based Regularization
Sumeet Singh
Spencer M. Richards
Vikas Sindhwani
Jean-Jacques E. Slotine
Marco Pavone
40
74
0
29 Jul 2019
Differentiable Algorithm Networks for Composable Robot Learning
Differentiable Algorithm Networks for Composable Robot Learning
Peter Karkus
Xiao Ma
David Hsu
L. Kaelbling
Wee Sun Lee
Tomas Lozano-Perez
22
70
0
28 May 2019
Learning to Control Highly Accelerated Ballistic Movements on Muscular
  Robots
Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots
Le Chen
Roberto Calandra
Jan Peters
23
19
0
07 Apr 2019
Accelerating Goal-Directed Reinforcement Learning by Model
  Characterization
Accelerating Goal-Directed Reinforcement Learning by Model Characterization
Shoubhik Debnath
Gaurav Sukhatme
Lantao Liu
21
3
0
04 Jan 2019
SOLAR: Deep Structured Representations for Model-Based Reinforcement
  Learning
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning
Marvin Zhang
Sharad Vikram
Laura M. Smith
Pieter Abbeel
Matthew J. Johnson
Sergey Levine
OffRL
23
41
0
28 Aug 2018
Maximizing acquisition functions for Bayesian optimization
Maximizing acquisition functions for Bayesian optimization
James T. Wilson
Frank Hutter
M. Deisenroth
46
240
0
25 May 2018
Finite-Data Performance Guarantees for the Output-Feedback Control of an
  Unknown System
Finite-Data Performance Guarantees for the Output-Feedback Control of an Unknown System
Ross Boczar
Nikolai Matni
Benjamin Recht
26
45
0
25 Mar 2018
Temporal Difference Models: Model-Free Deep RL for Model-Based Control
Temporal Difference Models: Model-Free Deep RL for Model-Based Control
Vitchyr H. Pong
S. Gu
Murtaza Dalal
Sergey Levine
OffRL
66
238
0
25 Feb 2018
Imagination-Augmented Agents for Deep Reinforcement Learning
Imagination-Augmented Agents for Deep Reinforcement Learning
T. Weber
S. Racanière
David P. Reichert
Lars Buesing
A. Guez
...
Razvan Pascanu
Peter W. Battaglia
Demis Hassabis
David Silver
Daan Wierstra
LM&Ro
54
551
0
19 Jul 2017
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