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Using Simulation to Improve Sample-Efficiency of Bayesian Optimization
  for Bipedal Robots

Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots

7 May 2018
Akshara Rai
Rika Antonova
Franziska Meier
C. Atkeson
ArXivPDFHTML

Papers citing "Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots"

15 / 15 papers shown
Title
Online Optimization of Central Pattern Generators for Quadruped
  Locomotion
Online Optimization of Central Pattern Generators for Quadruped Locomotion
Zewei Zhang
Guillaume Bellegarda
M. Shafiee
A. Ijspeert
16
2
0
21 Oct 2024
OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models
OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models
Hersh Sanghvi
Spencer Folk
Camillo J Taylor
49
3
0
25 Jun 2024
Quadruped-Frog: Rapid Online Optimization of Continuous Quadruped
  Jumping
Quadruped-Frog: Rapid Online Optimization of Continuous Quadruped Jumping
Guillaume Bellegarda
M. Shafiee
Merih Ekin Özberk
A. Ijspeert
46
9
0
11 Mar 2024
CURE: Simulation-Augmented Auto-Tuning in Robotics
CURE: Simulation-Augmented Auto-Tuning in Robotics
Md. Abir Hossen
Sonam Kharade
Jason M. O'Kane
B. Schmerl
David Garlan
Pooyan Jamshidi
27
1
0
08 Feb 2024
Bayesian optimization of distributed neurodynamical controller models
  for spatial navigation
Bayesian optimization of distributed neurodynamical controller models for spatial navigation
Armin Hadzic
Grace M. Hwang
Kechen Zhang
Kevin M. Schultz
J. Monaco
21
5
0
31 Oct 2021
Online Optimization of Stimulation Speed in an Auditory Brain-Computer
  Interface under Time Constraints
Online Optimization of Stimulation Speed in an Auditory Brain-Computer Interface under Time Constraints
J. Sosulski
D. Hübner
Aaron Klein
Michael Tangermann
22
2
0
26 Aug 2021
A Quantitative Perspective on Values of Domain Knowledge for Machine
  Learning
A Quantitative Perspective on Values of Domain Knowledge for Machine Learning
Jianyi Yang
Shaolei Ren
FAtt
FaML
14
5
0
17 Nov 2020
Multi-Fidelity Black-Box Optimization for Time-Optimal Quadrotor
  Maneuvers
Multi-Fidelity Black-Box Optimization for Time-Optimal Quadrotor Maneuvers
Gilhyun Ryou
E. Tal
S. Karaman
11
41
0
03 Jun 2020
Robust Policy Search for Robot Navigation
Robust Policy Search for Robot Navigation
Javier Garcia-Barcos
Ruben Martinez-Cantin
15
0
0
02 Mar 2020
Bayesian Optimization in Variational Latent Spaces with Dynamic
  Compression
Bayesian Optimization in Variational Latent Spaces with Dynamic Compression
Rika Antonova
Akshara Rai
Tianyu Li
Danica Kragic
DRL
24
17
0
10 Jul 2019
Bayesian Optimization for Policy Search via Online-Offline
  Experimentation
Bayesian Optimization for Policy Search via Online-Offline Experimentation
Benjamin Letham
E. Bakshy
OffRL
19
56
0
01 Apr 2019
Informed Machine Learning -- A Taxonomy and Survey of Integrating
  Knowledge into Learning Systems
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems
Laura von Rueden
S. Mayer
Katharina Beckh
B. Georgiev
Sven Giesselbach
...
Rajkumar Ramamurthy
Michal Walczak
Jochen Garcke
Christian Bauckhage
Jannis Schuecker
39
626
0
29 Mar 2019
Truly Proximal Policy Optimization
Truly Proximal Policy Optimization
Yuhui Wang
Hao He
Chao Wen
Xiaoyang Tan
13
123
0
19 Mar 2019
Global Search with Bernoulli Alternation Kernel for Task-oriented
  Grasping Informed by Simulation
Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation
Rika Antonova
Mia Kokic
J. A. Stork
Danica Kragic
6
22
0
10 Oct 2018
Manifold Gaussian Processes for Regression
Manifold Gaussian Processes for Regression
Roberto Calandra
Jan Peters
C. Rasmussen
M. Deisenroth
94
271
0
24 Feb 2014
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