17 search results - page 1 / 4 » Relevance Grounding for Planning in Relational Domains |
PKDD
2009
Springer
13 years 11 months ago
2009
Springer
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
AIPS
2006
13 years 5 months ago
2006
Much has been made of the need for academic planning research to orient towards real-world applications. In this paper, we relate our experience in adapting domain-independent pla...
JAIR
2010
13 years 2 months ago
2010
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
CI
2011
12 years 11 months ago
2011
We investigate the application of modern planning techniques to domains arising from problems in natural language generation (NLG). In particular, we consider two novel NLGinspire...
AIPS
2007
13 years 6 months ago
2007
Most traditional approaches to probabilistic planning in relationally specified MDPs rely on grounding the problem w.r.t. specific domain instantiations, thereby incurring a com...