4446 search results - page 482 / 890 » Learning Observer Agents |
183
click to vote
NIPS
2001
15 years 8 months ago
2001
We show that states of a dynamical system can be usefully represented by multi-step, action-conditional predictions of future observations. State representations that are grounded...
201
click to vote
AAAI
2008
15 years 9 months ago
2008
POIROT is an integration framework for combining machine learning mechanisms to learn hierarchical models of web services procedures from a single or very small set of demonstrati...
192
Voted
ATAL
2010
Springer
15 years 7 months ago
2010
Springer
We introduce the novel problem of inter-robot transfer learning for perceptual classification of objects, where multiple heterogeneous robots communicate and transfer learned obje...
223
click to vote
AGENTS
1998
Springer
15 years 11 months ago
1998
Springer
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
192
click to vote
AAAI
2006
15 years 8 months ago
2006
Rescaling is possibly the most popular approach to cost-sensitive learning. This approach works by rescaling the classes according to their costs, and it can be realized in differ...