215 search results - page 41 / 43 » Model-Based Reinforcement Learning with Continuous States an... |
BICA
2010
13 years 2 months ago
2010
Deep-layer machine learning architectures continue to emerge as a promising biologically-inspired framework for achieving scalable perception in artificial agents. State inference ...
AIPS
1996
13 years 8 months ago
1996
Learning from experimentation allows a system to acquire planning domain knowledge by correcting its knowledge when an action execution fails. Experiments are designed and planned...
IROS
2008
IEEE
14 years 1 months ago
2008
IEEE
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...
NIPS
2004
13 years 8 months ago
2004
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
HICSS
2006
IEEE
14 years 1 months ago
2006
IEEE
Dynamic technology-driven circumstances fortify academic librarians’ reconsideration of their professional purposes, processes and relationships. In response, California Polytec...