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IROS
2008
IEEE
142views Robotics» more  IROS 2008»
14 years 2 months ago
Scaffolding on-line segmentation of full body human motion patterns
Abstract— This paper develops an approach for on-line segmentation of whole body human motion patterns during human motion observation and learning. A Hidden Markov Model is used...
Dana Kulic, Yoshihiko Nakamura
ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
14 years 2 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
ROBOCUP
1997
Springer
98views Robotics» more  ROBOCUP 1997»
14 years 18 hour ago
Using an Explicit Model of Teamwork in RoboCup-97
Team ISIS ISI Synthetic successfully participated in the rst international RoboCup soccer tournament RoboCup'97 held in Nagoya, Japan, in August 1997. ISIS won the third-p...
Milind Tambe, Jafar Adibi, Yaser Al-Onaizan, Ali E...
ICRA
2010
IEEE
150views Robotics» more  ICRA 2010»
13 years 6 months ago
Balancing state-space coverage in planning with dynamics
— Sampling-based kinodynamic planners, such as the popular RRT algorithm, have been proposed as promising solutions to planning for systems with dynamics. Nevertheless, complex s...
Yanbo Li, Kostas E. Bekris
ICML
1994
IEEE
13 years 11 months ago
Efficient Algorithms for Minimizing Cross Validation Error
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
Andrew W. Moore, Mary S. Lee