397 search results - page 14 / 80 » Reinforcement Learning with Hierarchies of Machines |
172
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ICML
2006
IEEE
16 years 6 months ago
2006
IEEE
Recent decision-theoric planning algorithms are able to find optimal solutions in large problems, using Factored Markov Decision Processes (fmdps). However, these algorithms need ...
164
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ICML
2005
IEEE
16 years 6 months ago
2005
IEEE
This paper describes the use of machine learning to improve the performance of natural language question answering systems. We present a model for improving story comprehension th...
146
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ICML
2003
IEEE
16 years 6 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...
151
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ICML
1997
IEEE
16 years 6 months ago
1997
IEEE
Explanation-Based Reinforcement Learning (EBRL) was introduced by Dietterich and Flann as a way of combining the ability of Reinforcement Learning (RL) to learn optimal plans with...
125
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ICML
2007
IEEE
16 years 6 months ago
2007
IEEE
This paper investigates the problem of automatically learning how to restructure the reward function of a Markov decision process so as to speed up reinforcement learning. We begi...