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» Using Classical Planners to Solve Nondeterministic Planning ...
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CP
2005
Springer
15 years 7 months ago
Solving Simple Planning Problems with More Inference and No Search
Many problems used in AI planning including Blocks, Logistics, Gripper, Satellite, and others lack the interactions that characterize puzzles and can be solved nonoptimally in low...
Vincent Vidal, Hector Geffner
AIPS
2000
15 years 3 months ago
New Results about LCGP, a Least Committed GraphPlan
Planners from the family of Graphplan (Graphplan, IPP, STAN...) are presently considered as the most efficient ones on numerous planning domains. Their partially ordered plans can...
Michel Cayrol, Pierre Régnier, Vincent Vida...
140
Voted
AIPS
2006
15 years 3 months ago
Sequential Monte Carlo in Probabilistic Planning Reachability Heuristics
The current best conformant probabilistic planners encode the problem as a bounded length CSP or SAT problem. While these approaches can find optimal solutions for given plan leng...
Daniel Bryce, Subbarao Kambhampati, David E. Smith
117
Voted
AI
2008
Springer
15 years 2 months ago
Sequential Monte Carlo in reachability heuristics for probabilistic planning
The current best conformant probabilistic planners encode the problem as a bounded length CSP or SAT problem. While these approaches can find optimal solutions for given plan leng...
Daniel Bryce, Subbarao Kambhampati, David E. Smith
AIPS
2011
14 years 5 months ago
Effective Heuristics and Belief Tracking for Planning with Incomplete Information
Conformant planning can be formulated as a path-finding problem in belief space where the two main challenges are the heuristics to guide the search, and the representation and u...
Alexandre Albore, Miquel Ramírez, Hector Ge...