133 search results - page 11 / 27 » Hierarchical Policy Gradient Algorithms |
AAAI
2008
14 years 4 days 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...
NIPS
2008
13 years 11 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...
JMLR
2006
13 years 9 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...
CORR
2007
Springer
13 years 9 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...
IPSN
2003
Springer
14 years 3 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...