449 search results - page 14 / 90 » Finding Structure in Reinforcement Learning |
143
Voted
AAAI
1998
15 years 4 months ago
1998
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...
136
Voted
ICML
2001
IEEE
16 years 4 months ago
2001
IEEE
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
128
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ICML
2002
IEEE
16 years 4 months ago
2002
IEEE
Two notions of optimality have been explored in previous work on hierarchical reinforcement learning (HRL): hierarchical optimality, or the optimal policy in the space defined by ...
113
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CEC
2007
IEEE
15 years 9 months ago
2007
IEEE
—The purpose of this paper is to present a comparison between two methods of building adaptive controllers for robots. In spite of the wide range of techniques which are used for...
113
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CEC
2007
IEEE
15 years 7 months ago
2007
IEEE
Abstract-- In order to increase the transportation capability of elevator group systems in high-rise buildings without adding elevator installation space, double-deck elevator syst...