350 search results - page 20 / 70 » Complexity of Planning with Partial Observability |
ICTAI
2005
IEEE
14 years 2 months ago
2005
IEEE
Partially Observable Markov Decision Processes (POMDPs) provide a general framework for AI planning, but they lack the structure for representing real world planning problems in a...
ICTAI
2005
IEEE
14 years 2 months ago
2005
IEEE
In this paper, we study strategies in incremental planning for ordering and grouping subproblems partitioned by the subgoals of a planning problem when each subproblem is solved b...
TBILLC
2005
Springer
14 years 2 months ago
2005
Springer
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...
UAI
2003
13 years 10 months ago
2003
Currently, there is renewed interest in the problem, raised by Shafer in 1985, of updating probabilities when observations are incomplete (or setvalued). This is a fundamental pro...
ISRR
2005
Springer
14 years 2 months ago
2005
Springer
POMDPs provide a rich framework for planning and control in partially observable domains. Recent new algorithms have greatly improved the scalability of POMDPs, to the point where...