83 search results - page 3 / 17 » Planning and Acting in Partially Observable Stochastic Domai... |
ECAI
2010
Springer
13 years 7 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...
ATAL
2008
Springer
13 years 8 months ago
2008
Springer
Multiagent environments are often highly dynamic and only partially observable which makes deliberative action planning computationally hard. In many such environments, however, a...
SOFSEM
2007
Springer
14 years 4 days ago
2007
Springer
In this work we assume that there is an agent in an unknown environment (domain). This agent has some predefined actions and it can perceive its current state in the environment c...
ICRA
2010
IEEE
13 years 4 months ago
2010
IEEE
Abstract— We propose a planning algorithm that allows usersupplied domain knowledge to be exploited in the synthesis of information feedback policies for systems modeled as parti...
IROS
2006
IEEE
14 years 2 days ago
2006
IEEE
— An important problem in robotics is planning and selecting actions for goal-directed behavior in noisy uncertain environments. The problem is typically addressed within the fra...