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ECP
1997
Springer
128views Robotics» more  ECP 1997»
15 years 6 months ago
SINERGY: A Linear Planner Based on Genetic Programming
In this paper we describe SINERGY, which is a highly parallelizable, linear planning system that is based on the genetic programming paradigm. Rather than reasoning about the world...
Ion Muslea
AAAI
2000
15 years 3 months ago
Extracting Effective and Admissible State Space Heuristics from the Planning Graph
Graphplan and heuristic state space planners such as HSP-R and UNPOP are currently two of the most effective approaches for solving classical planning problems. These approaches h...
XuanLong Nguyen, Subbarao Kambhampati
104
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SARA
2009
Springer
15 years 8 months ago
Reformulating Planning Problems by Eliminating Unpromising Actions
Despite a big progress in solving planning problems, more complex problems still remain hard and challenging for existing planners. One of the most promising research directions i...
Lukás Chrpa, Roman Barták
ECP
1999
Springer
190views Robotics» more  ECP 1999»
15 years 6 months ago
Probabilistic Planning in the Graphplan Framework
We consider the problem of planning optimally in potentially concurrent probabilistic domains: actions have probabilistic effects and may execute in parallel under certain conditi...
Avrim Blum, John Langford
AIPS
2006
15 years 3 months ago
Concurrent Probabilistic Planning in the Graphplan Framework
We consider the problem of planning optimally in potentially concurrent probabilistic domains: actions have probabilistic effects and may execute in parallel under certain conditi...
Iain Little, Sylvie Thiébaux