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AAI
2008
101views more  AAI 2008»
13 years 4 months ago
A Replanning Algorithm for Decision Theoretic Hierarchical Planning: Principles and Empirical Evaluation
In this paper, we present a replanning algorithm for a decision-theoretic hierarchical planner, illustrate the experimental methodology we designed to investigate its performance,...
Guido Boella, Rossana Damiano
JAIR
2008
107views more  JAIR 2008»
13 years 4 months ago
Planning with Durative Actions in Stochastic Domains
Probabilistic planning problems are typically modeled as a Markov Decision Process (MDP). MDPs, while an otherwise expressive model, allow only for sequential, non-durative action...
Mausam, Daniel S. Weld
AGENTS
2001
Springer
13 years 8 months ago
Principles of intention reconsideration
We present a framework that enables a belief-desire-intention (BDI) agent to dynamically choose its intention reconsideration policy in order to perform optimally in accordance wi...
Martijn C. Schut, Michael Wooldridge
IJCAI
1993
13 years 5 months ago
Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning
Since most real-world applications of classification learning involve continuous-valued attributes, properly addressing the discretization process is an important problem. This pa...
Usama M. Fayyad, Keki B. Irani
JAIR
2006
160views more  JAIR 2006»
13 years 4 months ago
Anytime Point-Based Approximations for Large POMDPs
The Partially Observable Markov Decision Process has long been recognized as a rich framework for real-world planning and control problems, especially in robotics. However exact s...
Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun