27 search results - page 1 / 6 » Learning to evaluate conditional partial plans |
ICMLA
2007
13 years 6 months ago
2007
In our research we study rational agents which learn how to choose the best conditional, partial plan in any situation. The agent uses an incomplete symbolic inference engine, emp...
AAAI
2000
13 years 6 months ago
2000
We propose an epistemic dynamic logic EDL able to represent the interactions between action and knowledge that are fundamental to planning under partial observability. EDL enables...
AAAI
1994
13 years 6 months ago
1994
This paper presents snlp+ebl, the first implementation of explanation based learning techniques for a partial order planner. We describe the basic learning framework of snlp+ebl, ...
MICAI
2009
Springer
13 years 9 months ago
2009
Springer
Abstract. This paper builds on a previous work in which an HTN planner is used to obtain learning routes expressed in the standard language IMS-LD and its main contribution is the ...
ECAI
2010
Springer
13 years 5 months ago
2010
Springer
We investigate the problem of learning action effects in partially observable STRIPS planning domains. Our approach is based on a voted kernel perceptron learning model, where act...