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Integrating planning and learning: the PRODIGY architecture
TLDR
This article describes the PRODIGY planner, briefly reports on several learning modules developed earlier along the project, and presents in more detail two recently explored methods to learn to generate plans of better quality. Expand
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A review of machine learning for automated planning
TLDR
This paper reviews recent techniques in machine learning for the automatic definition of planning knowledge. Expand
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A context vector model for information retrieval
TLDR
In the vector space model for information retrieval, term vectors are pairwise orthogonal, that is, terms are assumed to be independent. Expand
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An Integrated Approach of Learning, Planning, and Execution
Agents (hardware or software) that act autonomously in an environment have to be able to integrate three basic behaviors: planning, execution, and learning. This integration is mandatory when theExpand
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Intelligent Travel Planning: A MultiAgent Planning System to Solve Web Problems in the e-Tourism Domain
TLDR
This paper presents Intelligent Travel Planning (ITP), a multiagent planning system to solve Web electronic problems in the Web, whose main goal is to search for useful solutions in the electronic-Tourism domain to system users. Expand
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samap: An user-oriented adaptive system for planning tourist visits
TLDR
We present samap, whose goal is to build a software tool to help different people visit different cities. Expand
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PELEA: a Domain-Independent Architecture for Planning, Execution and Learning
One of the current limitations for large-scale use of planning technology in real world applications is the lack of software platforms to integrate the full spectrum of planning-related technologies:Expand
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A dynamic sliding window approach for activity recognition
TLDR
We propose an approach based in events to generate dynamic sliding windows based on events to infer the activities. Expand
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Multi-agent planning by plan reuse
TLDR
We propose Multi-Agent Planning by plan Reuse, a multi-agent planning method that considers both the agents private and public information. Expand
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Revisiting Regression in Planning
TLDR
We revisit regression in planning with reachability-based heuristics, trying to extrapolate to backward search current lines of research that were not as well understood as they are now. Expand
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