10 search results - page 2 / 2 » Planning with Noisy Probabilistic Relational Rules |
JAIR
2007
13 years 4 months ago
2007
In this article, we work towards the goal of developing agents that can learn to act in complex worlds. We develop a a new probabilistic planning rule representation to compactly ...
DAGSTUHL
2007
13 years 6 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 ...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
Inference in graphical models has emerged as a promising technique for planning. A recent approach to decision-theoretic planning in relational domains uses forward inference in d...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
Many real-world domains exhibit rich relational structure and stochasticity and motivate the development of models that combine predicate logic with probabilities. These models de...
AAAI
2010
13 years 6 months ago
2010
Recent research has shown that surprisingly rich models of human behavior can be learned from GPS (positional) data. However, most research to date has concentrated on modeling si...