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AAAI
2010
13 years 10 months ago
2010
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...
GRAPHICSINTERFACE
2008
13 years 10 months ago
2008
It is becoming increasingly common to see computers with two or even three monitors being used today. People seem to like having more display space available, and intuition tells ...
AAAI
2004
13 years 10 months ago
2004
The relation between answer set programming (ASP) and propositional satisfiability (SAT) is at the center of many research papers, partly because of the tremendous performance boo...
NIPS
2004
13 years 10 months ago
2004
An important aspect of clustering algorithms is whether the partitions constructed on finite samples converge to a useful clustering of the whole data space as the sample size inc...
AR
2007
13 years 9 months ago
2007
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...