12 search results - page 1 / 3 » A Framework for Planning in Continuous-time Stochastic Domai... |
AIPS
2003
13 years 5 months ago
2003
We propose a framework for policy generation in continuoustime stochastic domains with concurrent actions and events of uncertain duration. We make no assumptions regarding the co...
ATAL
2009
Springer
13 years 11 months ago
2009
Springer
As agents begin to perform complex tasks alongside humans as collaborative teammates, it becomes crucial that the resulting humanmultiagent teams adapt to time-critical domains. I...
IJCAI
2007
13 years 5 months ago
2007
Markov Decision Processes are a powerful framework for planning under uncertainty, but current algorithms have difficulties scaling to large problems. We present a novel probabil...
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
— We propose a modeling framework based on the event-driven paradigm for populations of neurons which interchange messages. Unlike other strategies our approach is focused on the...
KR
1994
Springer
13 years 8 months ago
1994
Springer
Probabilistic AI planning methods that minimize expected execution cost have a neutral attitude towards risk. We demonstrate how one can transform planning problems for risk-sensi...