2518 search results - page 161 / 504 » Machine learning in sedimentation modelling |
176
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Rich representations in reinforcement learning have been studied for the purpose of enabling generalization and making learning feasible in large state spaces. We introduce Object...
175
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
Gaussian Process Temporal Difference (GPTD) learning offers a Bayesian solution to the policy evaluation problem of reinforcement learning. In this paper we extend the GPTD framew...
174
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ICML
2001
IEEE
16 years 7 months ago
2001
IEEE
This paper presents an active learning method that directly optimizes expected future error. This is in contrast to many other popular techniques that instead aim to reduce versio...
159
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ML
1998
ACM
15 years 6 months ago
1998
ACM
We review the application of statistical mechanics methods to the study of online learning of a drifting concept in the limit of large systems. The model where a feed-forward netwo...
190
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ICMLA
2009
15 years 4 months ago
2009
We describe a system that successfully transfers value function knowledge across multiple subdomains of realtime strategy games in the context of multiagent reinforcement learning....