1325 search results - page 26 / 265 » Algorithm Selection using Reinforcement Learning |
139
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CORR
2010
Springer
15 years 22 days ago
2010
Springer
We propose a new approach to value function approximation which combines linear temporal difference reinforcement learning with subspace identification. In practical applications...
109
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NIPS
1997
15 years 3 months ago
1997
This paper describes some of the interactions of model learning algorithms and planning algorithms we have found in exploring model-based reinforcement learning. The paper focuses...
108
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IJON
2006
15 years 2 months ago
2006
In this work, we propose a variation of a direct reinforcement learning algorithm, suitable for usage with spiking neurons based on the spike response model (SRM). The SRM is a bi...
112
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NIPS
2000
15 years 3 months ago
2000
The problem of reinforcement learning in large factored Markov decision processes is explored. The Q-value of a state-action pair is approximated by the free energy of a product o...
103
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IJCAI
2007
15 years 3 months ago
2007
In recent years, there has been a growing interest in using rich representations such as relational languages for reinforcement learning. However, while expressive languages have ...