548 search results - page 23 / 110 » A New Way to Introduce Knowledge into Reinforcement Learning |
90
Voted
ISMB
1993
15 years 1 months ago
1993
Thoughit has been possible in the past to learn to predict DNAhydration patterns from crystallographic data, there is ambiguity in the choice of training data (both in terms of th...
122
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NIPS
1992
15 years 28 days ago
1992
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
106
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ICML
2001
IEEE
16 years 17 days ago
2001
IEEE
We introduce the first algorithm for off-policy temporal-difference learning that is stable with linear function approximation. Off-policy learning is of interest because it forms...
ECAI
2008
Springer
15 years 1 months ago
2008
Springer
Knowledge elicitation is known to be a difficult task and thus a major bottleneck in building a knowledge base. Machine learning has long ago been proposed as a way to alleviate th...
105
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IJCAI
2001
15 years 1 months ago
2001
This paper investigates the problem of policy learning in multiagent environments using the stochastic game framework, which we briefly overview. We introduce two properties as de...