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...
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...
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...
— 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...
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...