664 search results - page 91 / 133 » Combining Reinforcement Learning with a Local Control Algori... |
NIPS
2007
14 years 11 months ago
2007
When we have several related tasks, solving them simultaneously is shown to be more effective than solving them individually. This approach is called multi-task learning (MTL) and...
MICCAI
2004
Springer
15 years 11 months ago
2004
Springer
We present a novel framework for learning a joint shape and appearance model from a large set of un-labelled training examples in arbitrary positions and orientations. The shape an...
STOC
1997
ACM
15 years 2 months ago
1997
ACM
We examine a class of collective coin- ipping games that arises from randomized distributed algorithms with halting failures. In these games, a sequence of local coin ips is gener...
ICML
2009
IEEE
15 years 11 months ago
2009
IEEE
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
KI
2007
Springer
15 years 4 months ago
2007
Springer
Abstract. Prototype-based clustering algorithms such as the Self Organizing Map (SOM) or Neural Gas (NG) offer powerful tools for automated data inspection. The distribution of pr...