1310 search results - page 28 / 262 » Progressive Optimization in Action |
101
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ICML
2003
IEEE
16 years 2 months ago
2003
IEEE
We consider incorporating action elimination procedures in reinforcement learning algorithms. We suggest a framework that is based on learning an upper and a lower estimates of th...
118
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CPAIOR
2005
Springer
15 years 7 months ago
2005
Springer
We describe the problem of scheduling astronomy observations for the Stratospheric Observatory for Infrared Astronomy, an airborne telescope. The problem requires maximizing the nu...
131
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AIPS
2007
15 years 4 months ago
2007
This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...
152
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AI
2011
Springer
14 years 9 months ago
2011
Springer
Planning graphs have been shown to be a rich source of heuristic information for many kinds of planners. In many cases, planners must compute a planning graph for each element of ...
AAAI
2008
15 years 4 months ago
2008
In many planning applications one can find actions with overlapping effects. If for optimally reaching the goal all that matters is within this overlap, there is no need to consid...