34 search results - page 3 / 7 » Learning Planning Operators in Real-World, Partially Observa... |
AGENTS
1998
Springer
13 years 10 months ago
1998
Springer
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
ECAI
2004
Springer
13 years 11 months ago
2004
Springer
Agents operating in the real world have to deal with a constantly changing and only partially predictable environment and are nevertheless expected to choose reasonable actions qui...
ATAL
2008
Springer
13 years 7 months ago
2008
Springer
The ability for an agent to reason under uncertainty is crucial for many planning applications, since an agent rarely has access to complete, error-free information about its envi...
AROBOTS
2007
13 years 5 months ago
2007
— A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. To operate in the real world, autonomo...
ECP
1997
Springer
13 years 10 months ago
1997
Springer
Systems that act autonomously in the environment have to be able to integrate three basic behaviors: planning, execution, and learning. Planning involves describing a set of action...