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» Learning Action Strategies for Planning Domains
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2009
Springer
14 years 1 months ago
Learning Adaptive Recommendation Strategies for Online Travel Planning
Conversational recommender systems support human-computer interaction strategies in order to assist online tourists in the important activity of dynamic packaging, i.e., in buildi...
Tariq Mahmood, Francesco Ricci, Adriano Venturini
KI
2004
Springer
14 years 2 days ago
On-Line Decision-Theoretic Golog for Unpredictable Domains
Abstract. DTGolog was proposed by Boutilier et al. as an integration of decision-theoretic (DT) planning and the programming language Golog. Advantages include the ability to handl...
Alexander Ferrein, Christian Fritz, Gerhard Lakeme...
AAAI
2004
13 years 8 months ago
Learning and Applying Competitive Strategies
Learning reusable sequences can support the development of expertise in many domains, either by improving decisionmaking quality or decreasing execution speed. This paper introduc...
Esther Lock, Susan L. Epstein
AIPS
1996
13 years 8 months ago
Planning Experiments: Resolving Interactions between Two Planning Spaces
Learning from experimentation allows a system to acquire planning domain knowledge by correcting its knowledge when an action execution fails. Experiments are designed and planned...
Yolanda Gil
ATAL
2006
Springer
13 years 10 months ago
Action awareness: enabling agents to optimize, transform, and coordinate plans
As agent systems are solving more and more complex tasks in increasingly challenging domains, the systems themselves are becoming more complex too, often compromising their adapti...
Freek Stulp, Michael Beetz