9 search results - page 2 / 2 » Learning in Repeated Games with Minimal Information: The Eff... |
JACM
2006
13 years 5 months ago
2006
"Experts algorithms" constitute a methodology for choosing actions repeatedly, when the rewards depend both on the choice of action and on the unknown current state of t...
PODC
2009
ACM
14 years 5 months ago
2009
ACM
We analyze the performance of protocols for load balancing in distributed systems based on no-regret algorithms from online learning theory. These protocols treat load balancing a...
PAKDD
2000
ACM
13 years 8 months ago
2000
ACM
The objective of data reduction is to obtain a compact representation of a large data set to facilitate repeated use of non-redundant information with complex and slow learning alg...
NEUROSCIENCE
2001
Springer
13 years 9 months ago
2001
Springer
The Brain is a slow computer yet humans can skillfully play games such as tennis where very fast reactions are required. Of particular interest is the evidence for strategic thinki...