133 search results - page 11 / 27 » Hierarchical Policy Gradient Algorithms |
AAAI
2008
15 years 4 months ago
2008
Hierarchical state decompositions address the curse-ofdimensionality in Q-learning methods for reinforcement learning (RL) but can suffer from suboptimality. In addressing this, w...
118
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NIPS
2008
15 years 3 months ago
2008
Many motor skills in humanoid robotics can be learned using parametrized motor primitives as done in imitation learning. However, most interesting motor learning problems are high...
154
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JMLR
2006
15 years 1 months ago
2006
We present a kernel-based algorithm for hierarchical text classification where the documents are allowed to belong to more than one category at a time. The classification model is...
71
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CORR
2007
Springer
15 years 1 months ago
2007
Springer
—Clustering techniques create hierarchal network structures, called clusters, on an otherwise flat network. In a dynamic environment—in terms of node mobility as well as in ter...
117
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IPSN
2003
Springer
15 years 7 months ago
2003
Springer
Sensor networks have emerged as a fundamentally new tool for monitoring spatially distributed phenomena. This paper investigates a strategy by which sensor nodes detect and estima...