Sciweavers

281 search results - page 17 / 57
» Planning with Partial Preference Models
Sort
View
TBILLC
2005
Springer
14 years 1 months ago
Real World Multi-agent Systems: Information Sharing, Coordination and Planning
Abstract. Applying multi-agent systems in real world scenarios requires several essential research questions to be answered. Agents have to perceive their environment in order to t...
Frans C. A. Groen, Matthijs T. J. Spaan, Jelle R. ...
IJCAI
2001
13 years 9 months ago
An Improved Grid-Based Approximation Algorithm for POMDPs
Although a partially observable Markov decision process (POMDP) provides an appealing model for problems of planning under uncertainty, exact algorithms for POMDPs are intractable...
Rong Zhou, Eric A. Hansen
ICRA
1999
IEEE
146views Robotics» more  ICRA 1999»
14 years 22 days ago
Planning Tracking Motions for an Intelligent Virtual Camera
We consider the problem of automatically generating viewpoint motions for a virtual camera tracking a moving target. Given the target's trajectory, we plan the motion of a ca...
Tsai-Yen Li, Tzong-Hann Yu
AI
2007
Springer
13 years 8 months ago
Learning action models from plan examples using weighted MAX-SAT
AI planning requires the definition of action models using a formal action and plan description language, such as the standard Planning Domain Definition Language (PDDL), as inp...
Qiang Yang, Kangheng Wu, Yunfei Jiang
AIPS
2008
13 years 10 months ago
Bounded-Parameter Partially Observable Markov Decision Processes
The POMDP is considered as a powerful model for planning under uncertainty. However, it is usually impractical to employ a POMDP with exact parameters to model precisely the real-...
Yaodong Ni, Zhi-Qiang Liu