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Adaptive Gaussian Process based Stochastic Trajectory Optimization for
  Motion Planning

Adaptive Gaussian Process based Stochastic Trajectory Optimization for Motion Planning

30 December 2021
Yichang Feng
Haiyun Zhang
Jin Wang
Guodong Lu
ArXivPDFHTML

Papers citing "Adaptive Gaussian Process based Stochastic Trajectory Optimization for Motion Planning"

10 / 10 papers shown
Title
Incrementally Stochastic and Accelerated Gradient Information mixed
  Optimization for Manipulator Motion Planning
Incrementally Stochastic and Accelerated Gradient Information mixed Optimization for Manipulator Motion Planning
Yichang Feng
Jin Wang
Haiyun Zhang
Guodong Lu
31
4
0
21 Aug 2021
Multimodal Trajectory Optimization for Motion Planning
Multimodal Trajectory Optimization for Motion Planning
Takayuki Osa
59
56
0
16 Mar 2020
Stochastic Optimization for Trajectory Planning with Heteroscedastic
  Gaussian Processes
Stochastic Optimization for Trajectory Planning with Heteroscedastic Gaussian Processes
Luka V. Petrović
Juraj Peršić
Marija Seder
Ivan Marković
36
10
0
17 Jul 2019
Accelerated Gradient Descent Escapes Saddle Points Faster than Gradient
  Descent
Accelerated Gradient Descent Escapes Saddle Points Faster than Gradient Descent
Chi Jin
Praneeth Netrapalli
Michael I. Jordan
ODL
59
261
0
28 Nov 2017
Continuous-Time Gaussian Process Motion Planning via Probabilistic
  Inference
Continuous-Time Gaussian Process Motion Planning via Probabilistic Inference
Mustafa Mukadam
Jing Dong
Xinyan Yan
F. Dellaert
Byron Boots
GP
45
217
0
24 Jul 2017
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
288
8,091
0
13 Aug 2016
FFRob: Leveraging Symbolic Planning for Efficient Task and Motion
  Planning
FFRob: Leveraging Symbolic Planning for Efficient Task and Motion Planning
Caelan Reed Garrett
Tomas Lozano-Perez
L. Kaelbling
67
140
0
03 Aug 2016
Trust Region Policy Optimization
Trust Region Policy Optimization
John Schulman
Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
274
6,755
0
19 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.6K
149,842
0
22 Dec 2014
Sampling-based Algorithms for Optimal Motion Planning
Sampling-based Algorithms for Optimal Motion Planning
S. Karaman
Emilio Frazzoli
97
4,675
0
05 May 2011
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