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» Learning to Optimize Plan Execution in Information Agents
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AAAI
2008
13 years 9 months ago
The PELA Architecture: Integrating Planning and Learning to Improve Execution
Building architectures for autonomous rational behavior requires the integration of several AI components, such as planning, learning and execution monitoring. In most cases, the ...
Sergio Jiménez, Fernando Fernández, ...
IJCAI
2003
13 years 8 months ago
Learning Value Predictors for the Speculative Execution of Information Gathering Plans
Speculative execution of information gathering plans can dramatically reduce the effect of source I/O latencies on overall performance. However, the utility of speculation is clos...
Greg Barish, Craig A. Knoblock
AGENTS
1997
Springer
13 years 11 months ago
High-Level Planning and Low-Level Execution: Towards a Complete Robotic Agent
We have been developing Rogue, an architecture that integrates high-level planning with a low-level executing robotic agent. Rogue is designed as the oce gofer task planner for X...
Karen Zita Haigh, Manuela M. Veloso
AGENTS
1999
Springer
13 years 11 months ago
Top-Down Search for Coordinating the Hierarchical Plans of Multiple Agents
Uncertain and complex environments demand that an agent be able to anticipate the actions of others in order to avoid resource conflicts with them and to realize its goals. Confli...
Bradley J. Clement, Edmund H. Durfee
AGENTS
1999
Springer
13 years 11 months ago
Planning and Resource Allocation for Hard Real-Time, Fault-Tolerant Plan Execution
We describe the interface between a real-time resource allocation system with an AI planner in order to create fault-tolerant plans that are guaranteed to execute in hard real-tim...
Ella M. Atkins, Tarek F. Abdelzaher, Kang G. Shin,...