2100 search results - page 1 / 420 » Observation Can Be as Effective as Action in Problem Solving |
COGSCI
2008
13 years 4 months ago
2008
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...
AUTOMATICA
2007
13 years 5 months ago
2007
The sensor scheduling problem can be formulated as a controlled hidden Markov model and this paper solves the problem when the state, observation and action spaces are continuous....
AAAI
2010
13 years 6 months ago
2010
Relational Markov Decision Processes (MDP) are a useraction for stochastic planning problems since one can develop abstract solutions for them that are independent of domain size ...
ATAL
2006
Springer
13 years 8 months ago
2006
Springer
As agent systems are solving more and more complex tasks in increasingly challenging domains, the systems themselves are becoming more complex too, often compromising their adapti...