121 search results - page 11 / 25 » Investigating practical, linear temporal difference learning |
CVPR
2004
IEEE
14 years 10 months ago
2004
IEEE
In this paper, we consider the problem of super-resolving a human face video by a very high (?16) zoom factor. Inspired by recent literature on hallucination and examplebased lear...
CORR
2010
Springer
13 years 9 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
KDD
2010
ACM
13 years 10 months ago
2010
ACM
Recent advances in linear classification have shown that for applications such as document classification, the training can be extremely efficient. However, most of the existing t...
ILP
2007
Springer
14 years 3 months ago
2007
Springer
In reinforcement learning problems, an agent has the task of learning a good or optimal strategy from interaction with his environment. At the start of the learning task, the agent...
AIED
2011
Springer
13 years 13 days ago
2011
Springer
Intelligent Tutoring Systems (ITSs) have been used for decades to teach students domain content or strategies. ITSs often struggle to maintain students’ interest and sustain a pr...