Learning from demonstration with Gaussian processes

2016 IEEE Conference on Mechatronics, Adaptive and Intelligent Systems (MAIS) ◽

10.1109/mais.2016.7761899 ◽

2016 ◽

Cited By ~ 1

Author(s):

Daniel Garcia-Sillas ◽

Efren Gorrostieta-Hurtado ◽

Emilio Soto-Vargas ◽

Guillermo Diaz-Delgado ◽

Cristian Rodriguez-Rivero

Keyword(s):

Gaussian Processes ◽

Learning From Demonstration

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Robust learning from demonstration using leveraged Gaussian processes and sparse-constrained optimization

2016 IEEE International Conference on Robotics and Automation (ICRA) ◽

10.1109/icra.2016.7487168 ◽

2016 ◽

Cited By ~ 9

Author(s):

Sungjoon Choi ◽

Kyungjae Lee ◽

Songhwai Oh

Keyword(s):

Constrained Optimization ◽

Gaussian Processes ◽

Learning From Demonstration ◽

Robust Learning

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Combining Gaussian Processes and Conventional Path Planning in a Learning from Demonstration Framework

Research and Education in Robotics - EUROBOT 2010 - Communications in Computer and Information Science ◽

10.1007/978-3-642-27272-1_11 ◽

2011 ◽

pp. 118-129 ◽

Cited By ~ 1

Author(s):

Markus Schneider ◽

Richard Cubek ◽

Tobias Fromm ◽

Wolfgang Ertel

Keyword(s):

Path Planning ◽

Gaussian Processes ◽

Learning From Demonstration

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Markov Processes, Gaussian Processes, and Local Times

10.1017/cbo9780511617997 ◽

2006 ◽

Cited By ~ 85

Author(s):

Michael B. Marcus ◽

Jay Rosen

Keyword(s):

Markov Processes ◽

Gaussian Processes ◽

Local Times

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Constrained Clustering using Gaussian Processes

2020 28th European Signal Processing Conference (EUSIPCO) ◽

10.23919/eusipco47968.2020.9287331 ◽

2021 ◽

Author(s):

Panagiotis A. Traganitis ◽

Georgios B. Giannakis

Keyword(s):

Gaussian Processes ◽

Constrained Clustering

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Shape and Topology Optimization in Computational Fluid Dynamics Including Heat Transfer Using Gaussian Processes and Adjoint Methods

AIAA Scitech 2021 Forum ◽

10.2514/6.2021-1892 ◽

2021 ◽

Author(s):

Robert Sandboge ◽

Dimitrios Papadimitriou ◽

Mahender Reddy

Keyword(s):

Heat Transfer ◽

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Topology Optimization ◽

Gaussian Processes ◽

Adjoint Methods ◽

Shape And Topology Optimization ◽

And Topology

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Gaussian Processes for Natural Language Processing

10.3115/v1/p14-6001 ◽

2014 ◽

Cited By ~ 5

Author(s):

Trevor Cohn ◽

Daniel Preotiuc-Pietro ◽

Neil Lawrence

Keyword(s):

Natural Language Processing ◽

Natural Language ◽

Language Processing ◽

Gaussian Processes

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Faculty Opinions recommendation of Navigating the protein fitness landscape with Gaussian processes.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.718090524.793482948 ◽

2013 ◽

Author(s):

Gottfried Otting

Keyword(s):

Gaussian Processes ◽

Fitness Landscape

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Sieves for Gaussian Processes.

10.21236/ada166055 ◽

1985 ◽

Author(s):

Jay H. Beder

Keyword(s):

Gaussian Processes

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Teaching Robots to Perform Construction Tasks via Learning from Demonstration

10.22260/isarc2019/0175 ◽

2019 ◽

Cited By ~ 1

Author(s):

Ci-Jyun Liang ◽

Vineet Kamat ◽

Carol Menassa

Keyword(s):

Learning From Demonstration ◽

Construction Tasks

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Approximate learning curves for Gaussian processes

9th International Conference on Artificial Neural Networks: ICANN '99 ◽

10.1049/cp:19991148 ◽

1999 ◽

Cited By ~ 5

Author(s):

P. Sollich

Keyword(s):

Gaussian Processes ◽

Learning Curves

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