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CORR
2012
Springer
235views Education» more  CORR 2012»
13 years 10 months ago
An Incremental Sampling-based Algorithm for Stochastic Optimal Control
Abstract— In this paper, we consider a class of continuoustime, continuous-space stochastic optimal control problems. Building upon recent advances in Markov chain approximation ...
Vu Anh Huynh, Sertac Karaman, Emilio Frazzoli
AI
2011
Springer
14 years 10 months ago
State agnostic planning graphs: deterministic, non-deterministic, and probabilistic planning
Planning graphs have been shown to be a rich source of heuristic information for many kinds of planners. In many cases, planners must compute a planning graph for each element of ...
Daniel Bryce, William Cushing, Subbarao Kambhampat...
JAIR
2000
96views more  JAIR 2000»
15 years 2 months ago
OBDD-based Universal Planning for Synchronized Agents in Non-Deterministic Domains
Recently model checking representation and search techniques were shown to be efciently applicable to planning, in particular to non-deterministic planning. Such planning approach...
Rune M. Jensen, Manuela M. Veloso
AIPS
2004
15 years 4 months ago
Fault Tolerant Planning: Toward Probabilistic Uncertainty Models in Symbolic Non-Deterministic Planning
Symbolic non-deterministic planning represents action effects as sets of possible next states. In this paper, we move toward a more probabilistic uncertainty model by distinguishi...
Rune M. Jensen, Manuela M. Veloso, Randal E. Bryan...
ECAI
2010
Springer
15 years 3 months ago
Compiling Uncertainty Away in Non-Deterministic Conformant Planning
It has been shown recently that deterministic conformant planning problems can be translated into classical problems that can be solved by off-the-shelf classical planners. In this...
Alexandre Albore, Héctor Palacios, Hector G...