656 search results - page 29 / 132 » Complexity of finite-horizon Markov decision process problem... |
143
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ATMOS
2010
15 years 25 days ago
2010
To model and solve optimization problems arising in public transportation, data about the passengers is necessary and has to be included in the models in any phase of the planning...
116
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ICML
2004
IEEE
16 years 2 months ago
2004
IEEE
This paper addresses the problem of constructing good action selection policies for agents acting in partially observable environments, a class of problems generally known as Part...
110
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ICRA
2007
IEEE
15 years 8 months ago
2007
IEEE
Abstract— We provide a method for planning under uncertainty for robotic manipulation by partitioning the configuration space into a set of regions that are closed under complia...
97
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COLT
2000
Springer
15 years 6 months ago
2000
Springer
We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process ( ¢¡¤£¦¥§ ), and focus on gradient ascent approache...
113
Voted
NIPS
2004
15 years 3 months ago
2004
First-order Markov models have been successfully applied to many problems, for example in modeling sequential data using Markov chains, and modeling control problems using the Mar...