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» The representation of planning strategies
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ICTAI
2005
IEEE
14 years 1 months ago
Planning with POMDPs Using a Compact, Logic-Based Representation
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...
Chenggang Wang, James G. Schmolze
ICRA
1999
IEEE
109views Robotics» more  ICRA 1999»
13 years 12 months ago
Unifying Exploration, Localization, Navigation, and Planning Through a Common Representation
The major themes of our research include the creation of mobile robot systems that are robust and adaptive in rapidly changing environments and the view of integration as a basic ...
Alan C. Schultz, William Adams, Brian Yamauchi, Mi...
AROBOTS
1999
115views more  AROBOTS 1999»
13 years 7 months ago
Integrating Exploration, Localization, Navigation and Planning with a Common Representation
Two major themes of our research include the creation of mobile robot systems that are robust and adaptive in rapidly changing environments, and the view of integration as a basic ...
Alan C. Schultz, William Adams, Brian Yamauchi
AAAI
2006
13 years 9 months ago
Controlled Search over Compact State Representations, in Nondeterministic Planning Domains and Beyond
Two of the most efficient planners for planning in nondeterministic domains are MBP and ND-SHOP2. MBP achieves its efficiency by using Binary Decision Diagrams (BDDs) to represent...
Ugur Kuter, Dana S. Nau
IJCAI
2003
13 years 9 months ago
Action representation and partially observable planning using epistemic logic
We propose a purely logical framework for planning in partially observable environments. Knowledge states are expressed in a suitable fragment of the epistemic logic S5. We show h...
Andreas Herzig, Jérôme Lang, Pierre M...