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» Learning to Optimize Plan Execution in Information Agents
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AGENTS
2001
Springer
13 years 12 months ago
Learning structured reactive navigation plans from executing MDP navigation policies
Autonomous robots, such as robot office couriers, need navigation routines that support flexible task execution and effective action planning. This paper describes XFRMLEARN, a s...
Michael Beetz, Thorsten Belker
AAAI
2000
13 years 8 months ago
Gridworlds as Testbeds for Planning with Incomplete Information
Gridworlds are popular testbeds for planning with incomplete information but not much is known about their properties. We study a fundamental planning problem, localization, to in...
Craig A. Tovey, Sven Koenig
AGENTS
2000
Springer
13 years 11 months ago
Dataflow plan execution for software agents
Recent research has made it possible to build information agents that retrieve and integrate information from the World Wide Web. Although there now exist solutions for modeling W...
Greg Barish, Dan DiPasquo, Craig A. Knoblock, Stev...
AGENTS
1998
Springer
13 years 11 months ago
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Karen Zita Haigh, Manuela M. Veloso