Auton Robot DOI[removed]s10514[removed]z Nonparametric representation of an approximated Poincaré map for learning biped locomotion Jun Morimoto · Christopher G. Atkeson - Reinforcement theory - Document - PDFSEARCH.IO

First Page		Document Content
Date: 2010-01-12 09:20:06 Gaussian process Reinforcement learning Robotics Control theory Poincaré map Learning Artificial intelligence Markov models Statistics Humanoid robot		Auton Robot DOI[removed]s10514[removed]z Nonparametric representation of an approximated Poincaré map for learning biped locomotion Jun Morimoto · Christopher G. Atkeson Add to Reading List Source URL: www.cs.cmu.edu Download Document from Source Website File Size: 977,78 KB Share Document on Facebook

	Self-reﬂective Multi-task Gaussian Process Kohei Hayashi1 , Takashi Takenouchi1 , Ryota Tomioka2 , Hisashi Kashima2 1 Graduate School of Information Science Nara Institute of Science and Technology DocID: 1vo0l - View Document
	A tutorial on Newton methods for constrained trajectory optimization and relations to SLAM, Gaussian Process smoothing, optimal control, and probabilistic inference Marc Toussaint March 9, 2017 DocID: 1vh2p - View Document
	UCSD MAE280a final solutionsQ.1: A discrete-time Gaussian process vk is a random vector function of the timestep k such that the probability density function of vk is given by DocID: 1vf48 - View Document
	Scalable Log Determinants for Gaussian Process Kernel Learning David 1 Eriksson DocID: 1v8kq - View Document
	Gaussian Process Latent Random Field DocID: 1uYRL - View Document