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» Learning Subgoal Sequences for Planning
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FLAIRS
2007
15 years 4 months ago
Case-Based Recommendation of Node Ordering in Planning
Currently, among the fastest approaches to AI task planning we find many forward-chaining heuristic planners, as FF. Most of their good performance comes from the use of domain-i...
Tomás de la Rosa, Angel García Olaya...
121
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JCP
2008
114views more  JCP 2008»
15 years 1 months ago
IntelligenTester - Test Sequence Optimization Framework using Multi-Agents
- Our paper focuses on the generation of optimal test sequences and test cases using Intelligent Agents for highly reliable systems. Test sequences support test case generation for...
D. Jeya Mala, V. Mohan
ISRR
2005
Springer
154views Robotics» more  ISRR 2005»
15 years 7 months ago
Session Overview Planning
ys when planning meant searching for a sequence of abstract actions that satisfied some symbolic predicate. Robots can now learn their own representations through statistical infe...
Nicholas Roy, Roland Siegwart
ABIALS
2008
Springer
15 years 3 months ago
Multiscale Anticipatory Behavior by Hierarchical Reinforcement Learning
Abstract. In order to establish autonomous behavior for technical systems, the well known trade-off between reactive control and deliberative planning has to be considered. Within ...
Matthias Rungger, Hao Ding, Olaf Stursberg
AIPS
2006
15 years 3 months ago
Lemma Reusing for SAT based Planning and Scheduling
In this paper, we propose a new approach, called lemma-reusing, for accelerating SAT based planning and scheduling. Generally, SAT based approaches generate a sequence of SAT prob...
Hidetomo Nabeshima, Takehide Soh, Katsumi Inoue, K...