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» Learning Control Knowledge for Forward Search Planning
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WOA
2001
13 years 9 months ago
Implementing Adaptive Capabilities on Agents that Act in a Dynamic Environment
Acting in a dynamic environment is a complex task that requires several issues to be investigated, with the aim of controlling the associated search complexity. In this paper, a l...
Giuliano Armano, Giancarlo Cherchi, Eloisa Vargiu
AAI
2005
117views more  AAI 2005»
13 years 7 months ago
Machine Learning in Hybrid Hierarchical and Partial-Order Planners for Manufacturing Domains
The application of AI planning techniques to manufacturing systems is being widely deployed for all the tasks involved in the process, from product design to production planning an...
Susana Fernández, Ricardo Aler, Daniel Borr...
AIPS
2011
12 years 11 months ago
Cross-Domain Action-Model Acquisition for Planning via Web Search
Applying learning techniques to acquire action models is an area of intense research interest. Most previous works in this area have assumed that there is a significant amount of...
Hankz Hankui Zhuo, Qiang Yang, Rong Pan, Lei Li
JAIR
2006
179views more  JAIR 2006»
13 years 7 months ago
The Fast Downward Planning System
Fast Downward is a classical planning system based on heuristic search. It can deal with general deterministic planning problems encoded in the propositional fragment of PDDL2.2, ...
Malte Helmert
TIME
1999
IEEE
13 years 12 months ago
TALplanner: An Empirical Investigation of a Temporal Logic-Based Forward Chaining Planner
We present a new forward chaining planner, TALplanner, based on ideas developed by Bacchus [5] and Kabanza [11], where domain-dependent search control knowledge represented as tem...
Patrick Doherty, Jonas Kvarnström