2440 search results - page 122 / 488 » Learn .MT: A New Approach to Incremental Learning |
157
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We study an approach for performing concurrent activities in Markov decision processes (MDPs) based on the coarticulation framework. We assume that the agent has multiple degrees ...
169
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Publication
Hyper-heuristics are new approaches which aim at raising the level of abstraction when solving combinatorial optimisation problems. In this paper we introduce a new hyper-heuristi...
226
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JMLR
2012
13 years 9 months ago
2012
We study the prevalent problem when a test distribution differs from the training distribution. We consider a setting where our training set consists of a small number of sample d...
184
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SAB
2010
Springer
15 years 5 months ago
2010
Springer
Biological brains can adapt and learn from past experience. In neuroevolution, i.e. evolving artificial neural networks (ANNs), one way that agents controlled by ANNs can evolve t...
173
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ICML
2002
IEEE
16 years 7 months ago
2002
IEEE
We present several new algorithms for multiagent reinforcement learning. A common feature of these algorithms is a parameterized, structured representation of a policy or value fu...