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» HOPPER: a hierarchical planning agent for unpredictable doma...
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ATAL
2006
Springer
13 years 9 months ago
Hierarchical planning in BDI agent programming languages: a formal approach
This paper provides a general mechanism and a solid theoretical basis for performing planning within Belief-Desire-Intention (BDI) agents. BDI agent systems have emerged as one of...
Sebastian Sardiña, Lavindra de Silva, Lin P...
AAAI
2008
13 years 7 months ago
HTN-MAKER: Learning HTNs with Minimal Additional Knowledge Engineering Required
We describe HTN-MAKER, an algorithm for learning hierarchical planning knowledge in the form of decomposition methods for Hierarchical Task Networks (HTNs). HTNMAKER takes as inpu...
Chad Hogg, Héctor Muñoz-Avila, Ugur ...
AAI
2008
101views more  AAI 2008»
13 years 5 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
SARA
2005
Springer
13 years 11 months ago
Synthesizing Plans for Multiple Domains
Intelligent agents acting in real world environments need to synthesize their course of action based on multiple sources of knowledge. They also need to generate plans that smoothl...
Abdelbaki Bouguerra, Lars Karlsson
ATAL
2006
Springer
13 years 9 months ago
A hierarchical approach to efficient reinforcement learning in deterministic domains
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...