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AIPS
2006
15 years 1 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
ATAL
2010
Springer
14 years 12 months ago
Incremental plan aggregation for generating policies in MDPs
Despite the recent advances in planning with MDPs, the problem of generating good policies is still hard. This paper describes a way to generate policies in MDPs by (1) determiniz...
Florent Teichteil-Königsbuch, Ugur Kuter, Gui...
AAAI
2000
15 years 1 months ago
RealPlan: Decoupling Causal and Resource Reasoning in Planning
Recent work has demonstrated that treating resource reasoning separately from causal reasoning can lead to improved planning performance and rational resource management where inc...
Biplav Srivastava
GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
15 years 4 months ago
On the generality of parameter tuning in evolutionary planning
Divide-and-Evolve (DaE) is an original “memeticization” of Evolutionary Computation and Artificial Intelligence Planning. However, like any Evolutionary Algorithm, DaE has se...
Jacques Bibai, Pierre Savéant, Marc Schoena...
ATAL
2009
Springer
15 years 24 days ago
Efficient physics-based planning: sampling search via non-deterministic tactics and skills
Motion planning for mobile agents, such as robots, acting in the physical world is a challenging task, which traditionally concerns safe obstacle avoidance. We are interested in p...
Stefan Zickler, Manuela M. Veloso