2934 search results - page 46 / 587 » Hypothesis Spaces for Learning |
124
Voted
IJCAI
1997
15 years 5 months ago
1997
Many of the challenges faced by the £eld of Computational Intelligence in building intelligent agents, involve determining mappings between numerous and varied sensor inputs and ...
117
Voted
ML
2002
ACM
15 years 3 months ago
2002
ACM
Solving in an efficient manner many different optimal control tasks within the same underlying environment requires decomposing the environment into its computationally elemental ...
138
Voted
AAAI
2008
15 years 6 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...
128
Voted
IROS
2007
IEEE
15 years 10 months ago
2007
IEEE
— In this paper, we present an approach that applies the reinforcement learning principle to the problem of learning height control policies for aerial blimps. In contrast to pre...
144
Voted
CE
2004
15 years 3 months ago
2004
Much computer-based learning is largely passive, based primarily on task-based, exercise-driven interactions. We argue that computers have greater potential for promoting more act...