Dynamics-LGP

An algorithm for learning dynamics online using the Local Gaussian Process algorithms described by Nguyen-Tuong, Peters, Seeger (2009).

Other References

Just some of the relevant literature.

Model Selection for Gaussian Processes

• http://www.gaussianprocess.org/gpml/chapters/RW5.pdf

Variational Inference for Gaussian Processes

• https://arxiv.org/pdf/1511.06499.pdf
• https://pdfs.semanticscholar.org/48dc/1de73230c3b1ff15d5aa20132fbdc31ad7d5.pdf

Learning Dynamics with Gaussian Processes

• https://pdfs.semanticscholar.org/d98a/4711aaa73d7d7bd9a954b2c69f5f007e9f66.pdf
• http://kyb.tuebingen.mpg.de/fileadmin/user_upload/files/publications/attachments/Nguyen-Tuong-ModelLearningLocalGaussianl_6067%5b0%5d.pdf

Gaussian Process Dynamic Programming

• https://spiral.imperial.ac.uk:8443/bitstream/10044/1/12277/14/pami_final.pdf
• https://spiral.imperial.ac.uk:8443/bitstream/10044/1/11569/6/neurocomputing2009.pdf

Trajectory Optimization with GP

• http://ml.informatik.uni-freiburg.de/_media/publications/adprl-2014.pdf