129 search results - page 12 / 26 » Learning action models from plan examples using weighted MAX... |
IROS
2008
IEEE
14 years 1 months ago
2008
IEEE
—This paper introduces a new approach to develop robots that can learn general affordance relations from their experiences. Our approach is a part of larger efforts to develop a ...
AAAI
1997
13 years 8 months ago
1997
We address the problem of visually detecting causal events and tting them together into a coherent story of the action witnessed by the camera. We show that this can be done by re...
AIPS
1996
13 years 8 months ago
1996
An increasing number of planners can handle uncertainty in the domain or in action outcomes. However, less work has addressed building plans when the planner's world can chan...
UAI
2008
13 years 9 months ago
2008
We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online setting in which estimates must be available afte...
DAGSTUHL
2007
13 years 9 months ago
2007
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...